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Transactions of the Canadian Society for Mechanical Engineering
Number of Followers: 1  Hybrid journal (It can contain Open Access articles)ISSN (Print) 0315-8977 - ISSN (Online) 2816-5691 Published by Canadian Science Publishing  [4 journals]
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- Adaptive group-wise modeling of thermally induced errors of a turning
center-
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Authors: Haitao Zhao, Yongbo Tang, Shuixiang Zhang
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
Traditional multivariate regression analysis-based thermal error models use only one polynomial of several temperature variables to predict thermal errors, which will produce lower local prediction accuracy for a longer machining process with sudden changes of machining parameters, and hence the group-wise modeling method is proposed in this paper. Resorting to hard break points and soft break points, the grouping work is completed in two steps: hard grouping and soft grouping. The positions of hard break points are optimized using the genetic algorithm toolbox in Matlab software to realize adaptive grouping. The mechanism for updating the thermal error model coefficients vectors for different soft groups is developed. The modeling test is carried out on a turning center for which the positions of thermal key points are optimized. The prediction results for radial and axial thermal errors show that four hard break points can basically meet the requirements at the di value of 80%, so the group-wise modeling method is helpful to advance the prediction accuracy of thermal errors.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2023-03-24T07:00:00Z
DOI: 10.1139/tcsme-2022-0116
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- Research on gear fault diagnosis method based on
SSA–VME–MOMEDA-
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Authors: Yangshou Xiong, Zhixian Yan, Kang Huang, Huan Chen
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
As a common mechanical part, gear is easy to be damaged because of its complex working environment, which can impact the running of the whole transmission device. Thus, it is very important to evaluate the health of gears in time. A gear fault diagnosis method based on multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) and variational modal extraction (VME) is proposed to solve the problem that the periodic fault features of gears are difficult to be completely extracted from signals. Meanwhile, sparrow search algorithm (SSA) is introduced to optimize the initial parameters of VME and MOMEDA. First, SSA serves to hunt for the best α of VME, VME serves to obtain the signal near the gear fault frequency, and then SSA serves to hunt for the best L and T values of MOMEDA, and MOMEDA serves to strengthen the gear impact features. Finally, the gear impact features are extracted by envelope spectrum. Simulation and experiment show that this method can extract gear fault components from noise effectively with good results.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2023-02-14T08:00:00Z
DOI: 10.1139/tcsme-2022-0093
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- The effect of piercing and drilling processes on burr formation and
delamination of aged carbon and aramid fiber-reinforced polymer composites
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Authors: Kaan Emre Engin, Ali Ihsan Kaya, Mahmut Tandogan
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
There are two major problems with fiber-reinforced polymer (FRP) composites during their machining that need to be addressed. The first concern is the delamination and formation of burrs at machined edges, and the second is the effects of aging leading to mechanical deterioration. In this study, carbon FRP (CFRP) and aramid FRP (AFRP) composites were manufactured by vacuum infusion method and aged for 2 years under natural environmental conditions. Piercing with three different clearances (1%, 5%, and 10% of sheet thickness) and speed of 4 m/s were performed. Additionally, conventional drilling was carried out at a feed rate of 0.2 m/min. The highest delamination factor difference between piercing and drilling processes was calculated as 7.3% and 13.9% for CFRP and AFRP, respectively. The highest burr amounts for AFRP and CFRP composites were obtained as 91.5% and 39% at 10% clearance for piercing process and 123% and 32.1% for drilling process, respectively. Compared with drilling, piercing generates less burr formation except for CFRP composites in the case of 10% clearance and more precise hole production. It is understood that piercing results significantly improve when smaller clearances up to 5% of the sheet thickness are utilized.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2023-02-08T08:00:00Z
DOI: 10.1139/tcsme-2022-0150
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- Design, modeling, and simulation of a novel transducer for vibration
energy recovery system of speed bump-
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Authors: Yan Guo, Xuhui Liao, Haodong Meng, Fulong Dong, Shang-Kuo Yang
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
Based on the designed vibration energy recovery system of speed bump, the structure and principle of a novel transducer are introduced in this paper, which is an important part of the system. AMEsim simulation software was used to study the characteristics of the transducer, and the feasibility of the transducer design was verified through modeling and analysis of the dual-cylinder transducer. The coupling model of vehicle speed bump and transducer was analyzed, the dynamic differential equation was listed, and the decoupling operation was carried out. On the basis of the above, Matlab/Simulink was used to establish the model simulation, and the time-domain responses of displacement, velocity, and acceleration of the vibration of the car body, wheel, and transducer in the coupling model system were analyzed. The control variable method was used to further explore the time-domain response of vehicle acceleration in the coupling system only when the vehicle speed changes or the transducer damping changes. Finally, the vibration energy recovery system of the speed bump was built, and the preliminary test proved that the transducer can realize its function.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2023-01-21T08:00:00Z
DOI: 10.1139/tcsme-2022-0064
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- Energy harvesting optimization using 2D car suspension system actuated by
a sawtooth speed bump-
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Authors: Min-Chie Chiu, Mansour Karkoub, Ming-Guo Her
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
In this work, an optimal suspension system is proposed to reduce the oscillations/vibrations of the car's body and harvest some of the induced vibration energy. The usual shock absorbers are replaced with energy harvesters capable of not only absorbing vibrations for ride comfort but also regenerating electrical energy for onboard use. To investigate the efficiency of the proposed harvesters, the input to the vehicle wheels is assumed to come from a sawtooth-shaped speed bump or rumble speed strip. Also, given the coupling between the various degrees of freedom of the car (heave, pitch, etc.), a half-car model is adopted in the derivation of the equations of motion. To maximize the amount of energy harvested, the design parameters of the harvesters are obtained using the simulated annealing optimization technique with four objective functions. Many of the design parameters, including magnet size, coil turns, and coil layers, are adjusted during the optimization process. Constant and accelerated motions are considered in this study to maximize the generated electricity index and ride comfort efficiency. The simulation results showed that the optimized harvesters were able to regenerate a significant amount of energy while maintaining an acceptable ride comfort level.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2023-01-21T08:00:00Z
DOI: 10.1139/tcsme-2022-0137
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- A comparative study of inverse dynamics in a spatial redundantly actuated
parallel mechanism constrained by two point-contact higher kinematic pairs
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Authors: Chen Cheng, Xiaojing Yuan, Yanjie Chen
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
A life-sized spatial redundantly actuated parallel mechanism (RAPM) constrained by two point-contact higher kinematic pairs (HKPs) has been designed, inspired by the mastication in human beings. To facilitate its real-time control in practice, an accurate inverse dynamics model is built in this paper. Firstly, its constrained motions are described, thereafter three dynamics methods, i.e., Newton–Euler’s law, the Lagrangian equations, and the principle of virtual work, respectively, are used to explore its rigid-body inverse dynamics. Symbolic results show that model structures based on these approaches are quite different. The model via Newton–Euler’s law well reflects the nature of the mechanism in terms of the constraint forces at HKPs, while those from the latter two methods do not contain them. Despite this, the actuating torques from these three models are identical. The comparisons between the dynamics models of the RAPM and its counterpart free of HKPs clarify that the constraints at HKPs greatly alter the model structures and numerical results, and the computational difficulties are considerably larger in the models of the RAPM.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-12-22T08:00:00Z
DOI: 10.1139/tcsme-2022-0119
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- The effects of nanoparticles as a biodiesel ingredient on the performance
of a VCR diesel engine-
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Authors: Nivin Joy, Anish Mariadhas, Jayaprabakar Jayaraman, Jayaprakash Venugopal, Sahaya Susmi, Bency Pensigamani
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
The combustion, efficiency, and emission properties of a single-cylinder variable compression ratio diesel engine were examined in this research (B100A30C30). To create a homogeneous solution, the ultrasonicator was used in conjunction with a 30 ppm concentration of silicon carbide and carbon nanotubes, two common nanoparticles found in fuel combinations. The increased mixing and chemical reactivity offered by nanoparticles' greater surface area to volume ratio during combustion improved the combustion, performance, and emission characteristics of diesel engines. The engine with nanoparticles (B20A30C30) had a thermal efficiency of braking that is 20% higher than the engine with regular particles (B100). Following that, nitrogen oxide emissions reduced by 38%, carbon monoxide emissions by 68%, hydrocarbon emissions by 52%, and smoke emissions by 48%.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-12-02T08:00:00Z
DOI: 10.1139/tcsme-2022-0077
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- Signal-to-noise ratio analysis on saw-tooth vortex generator in vehicle
radiators-
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Authors: Jiaxin Liu, Lingqin Meng, Yadong Liu, Enver Doruk Özdemir, Mehmet Haluk Aksel
First page: 1
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
Fin-and-flat tube heat exchangers are widely applied to construction vehicles due to native advantages. An elementary unit out of such one was numerically compared with the corresponding experimental validation to secure accuracy, then, saw-tooth vortex generators were introduced to the rear of the tube, and further analyzed under the same configuration. JF factors from two models were utilized to confirm the initial expectation for a higher comprehensive performance, which also encouraged the following L18(36) orthogonal test on wing width (ww), wing height (sw), blade height (sb), flow attack angle (Gf), installation angle (Gi), and saw-tooth number (Ns) for signal-to-noise ratio and contribution rate (CR). The results stated that the numerical implementation could be capable of the following analyses with the maximum errors of 5.00% for heat transfer coefficient and 5.33% for pressure loss, and also corroborate performance enhancement with a JF increment of 29.9% in the following comparison. The CRs of Gi, Ns, sw, ww, Gf, and sb are 30.39%, 19.61%, 15.69%, 13.73%, 10.78%, and 9.80%, respectively.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-07-04T07:00:00Z
DOI: 10.1139/tcsme-2022-0050
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- Application of mold flow analysis to the study of plastic gear rack
injection molding warpage-
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Authors: Dyi-Cheng Chen, Rih-Sheng Yang, Shang-Wei Lu, Hong-Yao Guo
First page: 15
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
This study employed the Taguchi method, analysis of variance, and response surface methodology for plastic gear rack injection molding parameters followed by a factorial quality validation. This study was expected to reduce the time cost of mold design and injection molding by making different combinations of the molding parameters, designing an experimental method, and performing the data simulation experiment by computer-aided engineering (CAE). With the research tool of polymer (polyacetal) for plastic material, computer-aided design mold design, and CAE mold flow analysis software, a numerical analysis of plastic molding flow was conducted. Taguchi L16 (45) orthogonal array designed 16 experimental combinations including injection molding conditions of filling time, holding pressure, holding time, plastic temperature, and mold temperature. The experimental results of molding analysis of software (Moldex3D) determined the optimum molding essentials of plastic injection: filling time 0.2 s, holding pressure 98 MPa, plastic temperature 195 °C, and mold temperature 65 °C. In this study, the parameters of the response surface method were used for the actual injection verification. The CAE simulation software can greatly improve the mold design and injection molding parameter testing time to enhance the overall working efficiency and cost control.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-11-18T08:00:00Z
DOI: 10.1139/tcsme-2022-0048
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- A comparison of four machine learning techniques and continuous wavelet
transform approach for detection and classification of tool breakage
during milling process-
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Authors: Habibe Gursoy Demir, Isa Yesilyurt
First page: 26
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
In machining, the tool condition has to be monitored by condition monitoring techniques to prevent damage by the use of tools and the workpiece. Cutting forces acting on the tool between zero and maximum values cause the cutting edge to crack and break. Predetection of this situation in the cutting tool is very important to prevent any negative situation that may occur. This study introduces a vibration-based intelligent tool condition monitoring technique to detect involute form cutter faults such as tool breakage at different levels during gear production on a milling machine. Machine learning algorithms such as artificial neural network, random forest, support vector machine, and K-nearest neighbor were used to detect the broken teeth and its level of breakage. According to the results obtained, it was observed that all the algorithms are successful in detecting faults in different teeth; also they have identification advantages according to different fault levels. In addition, the time and frequency domain analysis and continuous wavelet transform were used to determine the local faults. The developed machine learning-based detection performances compared the classical time and frequency domain analyses and continuous wavelet transform to prove the effectiveness and precision of the proposed methods. The results showed that all of the machine learning techniques have satisfactory performance to be used as fast and precise detection tools without complex calculations for detecting tool breakage.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-10-17T07:00:00Z
DOI: 10.1139/tcsme-2022-0052
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- Single- and multi-objective optimization of internal gear flowforming
process based on increasing tooth height and reducing force and built-up
edge-
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Authors: Majid Khodadadi, Khalil Khalili, Amir Ashrafi
First page: 43
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
Flowforming is an incremental metal forming process in which deformation occurs gradually between the roller and mandrel. This process has been widely used for manufacturing of high-precision tubular parts and seamless tubes. Internal gear flowforming process is a new method for manufacturing an internal gear that requires no additional machining process. In this study, the design of experiment method and regression analysis were used to obtain tooth height, force, and built-up edge as functions of the effective parameters, including feed rate, roller diameter, attack angle, and thickness reduction percentage. Next, the simulated annealing and genetic algorithm were used for, respectively, single- and multi-objective optimization of the obtained functions. The goal of optimization was to reduce the force and built-up edge and increase the tooth height. In single-objective optimization, the maximum tooth height was 0.576 mm, the minimum force was 1606.63 N, and the minimum built-up edge was 0.448 mm. In multi-objective optimization, an optimal set of tooth height, force, and built-up edge (Pareto front) is obtained.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-10-28T07:00:00Z
DOI: 10.1139/tcsme-2022-0073
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- Effects of injection parameters on CRDI-equipped stationary diesel engine
fuelled with neat biodiesel mix derived from waste feedstocks-
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Authors: M. Anto Alosius, Pushparaj Thomai, Vikas Sharma, Bharathi Chandrasekaran
First page: 54
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
This present work deals with the effects of injection parameters such as pilot-main injection mass ratio and dwell time on combustion, performance, and emission characteristics of a diesel engine. A single cylinder diesel engine is used in this research work with the flexibilities to modify different variables via open electronic control unit. Biodiesel mix (BDM) used in the present work is derived from waste feedstocks of used cooking oil and chicken fat. Throughout the experiment, engine load and speed were maintained constantly at 4.51 brake mean effective pressure and 1500 rpm, respectively. Different pilot mass ratios (10%, 20%, and 30%) and dwell times (20° crank angle (CA), 30° CA, and 40° CA) were tested and results were compared with conventional mode combustion. The results indicated that the pilot injections helped to reduce the ignition lag period and also shortened the combustion duration. The highest brake thermal efficiency of 34.78% was identified with the lowest pilot mass of 10%. According to the results, increased dwell time decreased the oxides of nitrogen emissions but increased the hydrocarbon emissions. The experiment revealed that BDM made of waste feedstocks could be an effective alternative for engine applications with optimized engine operating conditions.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-10-18T07:00:00Z
DOI: 10.1139/tcsme-2022-0061
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- Flow force analysis and optimization of lock valve for heavy-duty
automatic transmission-
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Authors: Huaichao Wu, Zhao Peng, Junqi Mu, Limei Zhao, Lv Yang
First page: 62
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
One of the main factors determining the stability of lock valve during opening is the flow force on spool. The size of the flow force profoundly affects the dynamic characteristics of the spool. In this paper, the flow force on a heavy-duty automatic transmission lock valve during the opening process is analyzed and optimized, and aiming to improve the opening smoothness of the lock valve. First, numerical simulation of the opening process of the main oil chamber flow path in the lock valve is carried out using dynamic mesh technology. The influence of internal flow field on the flow force under different parameters is studied. Second, the structural parameters and peaks of flow force obtained from the random sampling method are used as samples for training and prediction using the BP neural network. The prediction results pass the accuracy test. Last, the prediction results of the BP neural network are optimized using the genetic algorithm. Subsequent results show that this optimization method significantly reduces the flow force of spool and improves the stability of the lock valve during opening by only changing the structural parameters. It also provides a new systematic direction for the optimization of other nonlinear mapping relationships.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-08-24T07:00:00Z
DOI: 10.1139/tcsme-2021-0143
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- Nozzle resonance mechanism and cooperative optimization of self-excited
oscillating pulse cavitation jet-
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Authors: Xiaoming Yuan, Ning Wang, Weidong Wang, Lijie Zhang, Yong Zhu
First page: 74
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
The peak value and pulsation amplitude of the self-excited oscillating pulse cavitation jet nozzle are essential indices to evaluate the jet performance. We established a simulation model of the jet process of the nozzle to investigate the evolution mechanism of the inner and outer flow fields. We used the chamber fillet, chamber diameter, chamber length, and outlet-tube diameter as the design variables, and the peak value of the striking force and the amplitude of the pulsation of the striking force as the target variables. The collaborative optimization design method of the nozzle was determined by combining the orthogonal test method, the back propagation neural network, and the nondominated sorting genetic algorithm. As indicated by the results, when the inlet pressure was 3 MPa, the factors ranked as follows in terms of their effects on the jet performance of the nozzle: the chamber fillet, the outlet-tube diameter, chamber diameter, and the chamber length. To verify the feasibility of the collaborative optimization method, the nozzle was fabricated via 3D printing, and the simulation model was verified by testing. This study provides support to the development of design theory for self-oscillating pulsed cavitation jet nozzles.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-10-20T07:00:00Z
DOI: 10.1139/tcsme-2021-0092
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- Investigation on contact behavior of planetary roller screw mechanism
considering thermal deformation-
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Authors: Jiacheng Miao, Shuyan Wang, Xinping Shan, Bingkui Chen
First page: 89
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
Previous thermal studies on planetary roller screw mechanism (PRSM) are mainly concentrated on frictional heat without the consideration of external thermal loads. However, the contact behavior of PRSM varies greatly during the operation process. In this paper, a calculating method for frictional heat of PRSM based on friction torque is proposed, and a transient thermal model is established to analyze the heat transfer of PRSM at multiple thermal conditions. After that, an analytical method is introduced to investigate the temperature, and the equations of its influences on the thermal deformation are derived. The influences of temperature distribution on the clearances and contact positions of the mating thread surfaces are studied as well. We found that the frictional heat, thermal resistance, and thermal loads can significantly alter the temperature distribution consistency. The results indicated that the load-bearing capacity of PRSM is greatly affected by the temperature differences between the planetary roller screw components. By allowing comprehensive thermal simulation, the proposed model can be utilized for PRSM optimization design.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-09-20T07:00:00Z
DOI: 10.1139/tcsme-2022-0044
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- Torque vectoring algorithm for distributed drive electric vehicle
considering coordination of stability and economy-
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Authors: Qiang Chen, Yong Li, Taohua Zhang, Feng Zhao, Xing Xu
First page: 112
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
Working of in-wheel motors (IWMs) in high-efficiency areas and minimum tire slip should be considered when driving distributed drive electric vehicles (DDEVs). Therefore, a novel torque vectoring control algorithm is proposed to lower energy dissipation and ensure lateral stability, which consists of a linear quadratic regulator and a proportion integration control module in upper controller to calculate desired additional yaw moment and total driving torque, respectively, for following desired yaw rate, side slip angle, and longitudinal velocity. In addition, the stability objective function considering tire working load and the economic objective function considering working efficiency of IWMs and tire slip energy are established separately in lower controller. The fitness function of coordinating lateral stability and economy is obtained by phase plane method. Particle swarm optimization (PSO) algorithm with a superior initial population (SIP-PSO) is proposed to solve torque distribution coefficients for torque distribution of DDEVs. Finally, simulation and hardware-in-the-loop test results under double lane change and snake lane change maneuvers on lower adhesion road indicate that the proposed algorithm can effectively lower the energy loss of IWM working and tire slip while ensuring lateral stability under different working conditions.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-08-02T07:00:00Z
DOI: 10.1139/tcsme-2022-0053
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- VARTM process of composites using double-bag air cushion method
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Authors: Chih-Yuan Chang, Jen-Tsung Huang
First page: 131
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
This article introduced the double-bag air cushion method (DBACM) as an economical and efficient manufacturing process of polymer composites associated with the vacuum-assisted resin transfer molding (VARTM) process. The method utilizes an improved double-bag along with several air cushions to create distribution channels for enhancing the resin flow during infusion. Experimental evaluation on resin infusion behavior and mechanical properties, including ultimate strength, void content, surface finish, and thickness uniformity, is performed for composites reinforced with both jute fibers and glass fibers. Results showed that the DBACM reduces the infusion time by more than 26.0% as compared with traditional VARTM. The difference in ultimate strength of the part between the DBACM and the VARTM is about 2.9%–3.9%. The void content of the E-glass composites is 1.3%–1.5% due to the few fissure-like microvoids, whereas the void content of the jute composites is high, about 2.4%–4.0%, because of the sparse spherical macrovoids. Additionally, there are no major differences in surface finish and thickness uniformity between the parts fabricated by DBACM and by conventional VARTM.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-11-02T07:00:00Z
DOI: 10.1139/tcsme-2022-0086
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- Logic design method and optimization of hydraulic system for heavy-duty
automatic transmission-
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Authors: Huaichao Wu, Yong Dong, Gang Cao, Limei Zhao, Lv Yang
First page: 143
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
In this paper, the shifting control hydraulic system of the heavy-duty automatic transmission was designed, aiming to unify and standardize design methods. The said system was designed according to the binary logic characteristics of hydraulic components. In addition, to meet the torque transmission requirements and reduce the energy consumption, both the oil pressure supply and flow-regulating system were designed. Mathematical and simulation models of the hydraulic system were established to analyze its performance. Finally, the genetic algorithm was used to optimize the system (within the AMESim environment); the results have shown that the main pressure of each gear was controlled in a reasonable range, and both the pressure of shift clutch and the pressure response time were reduced. In addition, the power loss of the hydraulic system was significantly improved, which improved the practical performance of the overall hydraulic system.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-09-12T07:00:00Z
DOI: 10.1139/tcsme-2021-0042
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- Performance analysis of vibration characteristics on VCR engine using
hybrid honeycomb structure-
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Authors: C. Senthilkumar, D. Vasudevan
First page: 154
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
There are a number of techniques available to reduce the engine vibration, and vibration isolation is one among those techniques. Such vibrations can be isolated using hybrid engine mounts that absorb the forces caused by vibration. Consequently, the present work proposes a hybrid aluminium mount filled with silica gel to isolate the engine vibration. Experiments were carried out on the variable compression ratio engine mounted on the hybrid honeycomb structure, and the free, forced vibrations, and frequency domains were analysed. The test results portrayed that the performance of the engine with a hybrid mount is found to be better than the conventional rubber mount. The hybrid sandwich panel with a honeycomb structure crowded with silica gel as fibrous material was utilized to isolate the engine vibrations. Compared with conventional mount (1.502 m/s2), high amount of vibration was reduced by honeycomb structured mount (0.814 m/s2) using different load conditions and fuel input pressure of 150 bar. Vibration in conventional mount for blower closing condition was 1.546 m/s2 and that in honeycomb structured mount was 1.4 m/s2.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-10-03T07:00:00Z
DOI: 10.1139/tcsme-2022-0060
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- An innovative design of INVELOX wind turbine: a numerical study on the
effects of implementing long flange and Venturi holes-
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Authors: Negin Maftouni, Yasaman Barghi
First page: 162
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
There is a global interest in renewable energy resources such as wind energy. INVELOX (increased velocity) is an innovative ducted wind turbine system. Some research has been performed to improve the efficiency of this machine by various geometrical modifications. Two ideas are presented and numerically analyzed in the present research to study their effects on the wind velocity when approaching the wind turbine, and consequently, on the wind turbine efficiency. In one of them, a relatively long flange is added to the original design, and in the other one, a pair of holes is considered in the venture to try to increase the mass flow rate of wind when reaching the turbine. Three various sizes of holes are studied here. The results reveal that using the long flange leads to an increment in the maximum wind velocity (about 15.45%) and more than 176% increase in the harvested power. In addition, the pair of holes in the Venturi with a diameter of 35 cm results in a slight improvement in the harvested power. For the first time, the turbine has been modeled inside the Venturi. A comparison between the results for the INVELOX, including the turbine, and that of the turbine in the free stream indicates that implementing INVELOX leads to 3.14 times more power generation.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-10-06T07:00:00Z
DOI: 10.1139/tcsme-2022-0025
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- Weather aerodynamic adaptation for autonomous vehicles: a tentative
framework-
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Authors: H. Hangan, M. Agelin-Chaab, I. Gultepe, G. Elfstrom, J. Komar
First page: 175
Abstract: Transactions of the Canadian Society for Mechanical Engineering, Ahead of Print.
While autonomous vehicles (AVs) are potentially the future of transportation, one of the main issues that need to be addressed is their behaviour and response to adverse weather conditions. Herein, we proposed a research frame to understand and mitigate the impact of weather stressors (wind, rain, snow, ice, and fog) on AVs. A recently launched initiative to design and engineer an indigenous Canadian road vehicle served as a background for this intended framework. The proposed frame consists of (i) on-road testing and numerical computational fluid dynamics (CFD) simulations to derive statistically significant critical weather conditions (weather design cases, WDCs) and (ii) simulation of these weather conditions in the ACE climatic wind tunnel at Ontario Tech University, Canada, to (iii) identify adaptive controls to minimize the effects of the WDCs on vehicles improving their aerodynamics, safety, and sensor functionality. This framework is intended to (i) provoke discussions among the AV industry and research stakeholders in Canada and elsewhere and (ii) provide a context for future research in related areas such as AV aerodynamics, maneuverability, weather impacts (e.g., wind, rain, snow, ice, and fog), sensors, and soiling.
Citation: Transactions of the Canadian Society for Mechanical Engineering
PubDate: 2022-08-15T07:00:00Z
DOI: 10.1139/tcsme-2021-0198
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