Subjects -> MANUFACTURING AND TECHNOLOGY (Total: 363 journals)
    - CERAMICS, GLASS AND POTTERY (31 journals)
    - MACHINERY (34 journals)
    - MANUFACTURING AND TECHNOLOGY (223 journals)
    - METROLOGY AND STANDARDIZATION (6 journals)
    - PACKAGING (19 journals)
    - PAINTS AND PROTECTIVE COATINGS (4 journals)
    - PLASTICS (42 journals)
    - RUBBER (4 journals)

MACHINERY (34 journals)

Showing 1 - 27 of 27 Journals sorted alphabetically
Acta Mechanica Solida Sinica     Hybrid Journal   (Followers: 8)
Advanced Energy Materials     Hybrid Journal   (Followers: 31)
Applied Mechanics Reviews     Full-text available via subscription   (Followers: 27)
CORROSION     Full-text available via subscription   (Followers: 20)
Electric Power Components and Systems     Hybrid Journal   (Followers: 7)
Foundations and TrendsĀ® in Electronic Design Automation     Full-text available via subscription   (Followers: 1)
International Journal of Machine Tools and Manufacture     Hybrid Journal   (Followers: 8)
International Journal of Machining and Machinability of Materials     Hybrid Journal   (Followers: 4)
International Journal of Manufacturing Technology and Management     Hybrid Journal   (Followers: 8)
International Journal of Precision Technology     Hybrid Journal   (Followers: 1)
International Journal of Rapid Manufacturing     Hybrid Journal   (Followers: 3)
International Journal of Rotating Machinery     Open Access   (Followers: 2)
Journal of Machinery Manufacture and Reliability     Hybrid Journal   (Followers: 2)
Journal of Manufacturing and Materials Processing     Open Access  
Journal of Mechanics     Hybrid Journal   (Followers: 9)
Journal of Strain Analysis for Engineering Design     Hybrid Journal   (Followers: 5)
Journal of Terramechanics     Hybrid Journal   (Followers: 4)
Machine Design     Partially Free   (Followers: 183)
Machine Learning and Knowledge Extraction     Open Access   (Followers: 12)
Machines     Open Access   (Followers: 4)
Materials     Open Access   (Followers: 4)
Mechanics Based Design of Structures and Machines: An International Journal     Hybrid Journal   (Followers: 8)
Micromachines     Open Access   (Followers: 2)
Pump Industry Analyst     Full-text available via subscription   (Followers: 1)
Russian Engineering Research     Hybrid Journal  
Sensor Review     Hybrid Journal   (Followers: 2)
Surface Engineering and Applied Electrochemistry     Hybrid Journal   (Followers: 6)
Similar Journals
Journal Cover
International Journal of Machining and Machinability of Materials
Journal Prestige (SJR): 0.408
Citation Impact (citeScore): 1
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1748-5711 - ISSN (Online) 1748-572X
Published by Inderscience Publishers Homepage  [451 journals]
  • Methods for dimensional stability improvement of end measurement tools

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      Authors: Mohamed Mahmoud Khtatbeh, Anuar Shah Bali Mahomed, Suhaimi Bin Ab Rahman, Rosmah Mohamed
      Pages: 1 - 15
      Abstract: As a result of high pressure and temperature and the speed of relative movement, the contact surfaces of tools deteriorate during operation. The low dimensional stability of a tool is one of the reasons for the degradation of processing accuracy. Due the stability of this low-dimensional tool, surface treatment operations with precise dimensions are inefficient and expensive. This work presents methods for the stability improvement of end measurement tools. Three practical examples for engineering applications are presented along with relevant equations. Furthermore, the locating chart of the tool on the machine and work surfaces on the cut surface and edge was designed. A scheme to obtain a hole with a constant diameter in case of tool deterioration is also presented. The results show that differential methods significantly increase the service life of tools beyond their dimensional stability. Moreover, differential methods are simple and cost-effective.
      Keywords: cutting tool; location; measuring tool; dimensional wear; inside diameter tooling; machine surface; work surface; cut surface
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 1 - 15
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122780
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Assessment of features from multiple sensors in monitoring titanium
           milling

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      Authors: John H. Navarro-Devia, Yun Chen, Dzung Viet Dao, Huaizhong Li
      Pages: 16 - 47
      Abstract: Multi-sensor approach has become a topic of interest in the development of monitoring systems in manufacturing. This paper studies assessing some key statistical features in the time domain. During titanium milling, cutting forces, accelerations, and acoustic emission-RMS signals were extracted under different cutting parameters. A novel method for the automatic extraction of data corresponding to tool engagement is proposed, using the AE-RMS signal as an indicator of tool-workpiece interaction. The results indicate that common monitoring features are also affected by variation in machining parameters, and not only by the tool state, showing that RMS and spectral entropy have a higher sensibility. It justifies the use of multi-sensor for providing additional information, which might be undiscovered in a single-sensor configuration. The use of each type of sensor, the multi-sensor approach, and statistical features extraction are discussed. The findings may aid to expand the knowledge on titanium machining and data-driven monitoring.
      Keywords: multi-sensor; monitoring; milling; titanium; signal processing; features extraction; Ti6Al4V; data-driven manufacturing; statistical analysis
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 16 - 47
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122785
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Optimisation and impact of process parameters on tool-chip interaction
           while turning of A286 iron based nickel superalloy

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      Authors: M. Venkata Ramana, G. Krishna Mohana Rao, M. Dheeraj Reddy, B.V. Raja Ravi Kumar, P. Ravi Kumar
      Pages: 48 - 67
      Abstract: A286 alloy is a superalloy categorised under iron based nickel superalloy and this material is considered to be a difficult-to-machine material. In the present work, the process parameters' impact on tool-chip interaction in turning of A286 alloy is examined with two tool materials viz. uncoated and PVD coated tool inserts with sustainable dry turning process. Optimisation of turning process parameters is carried out with the analysis of mean to minimise the chip compression ratio and friction coefficient. The experimental results for optimisation indicate that the minimum chip compression ratio is 2.75 and the coefficient of friction is 0.366 attained with PVD coated insert tool. Results specify that PVD coated cutting insert is a superior tool material in turning of A286 alloy to decrease the chip compression ratio as well as friction coefficient when compared with uncoated tool material. Analysis of variance results indicate that the depth of cut is a more influencing parameter on the coefficient of friction and chip compression ratio with an uncoated tool, whereas feed rate is influencing high on chip compression ratio and friction coefficient with PVD coated tool. Regression models are developed to predict the chip compression ratio and friction coefficient.
      Keywords: A286 alloy; optimisation; Taguchi's methodology; uncoated and PVD coated tools; chip compression ratio; coefficient of friction
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 48 - 67
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122783
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Theoretical model for prediction of surface roughness in abrasive slurry
           jet polishing of glass

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      Authors: K.G. Anbarasu, L. Vijayaraghavan, N. Arunachalam
      Pages: 68 - 91
      Abstract: In the present work, the surface roughness generation of BK7 glass at low impact angle of jet with respect to process parameters has been predicted by using the depth of jet penetration model. Thus, first, depth of jet penetration model was developed by considering erosion theory, material removal characteristics (nozzle footprint) at the low angle of impact and process kinematics. The predicted depth of jet penetration was used to calculate the reduction in surface peaks and valleys height in order to predict the surface roughness. The predicted surface roughness is in close agreement with the experiment. Further, the developed depth of the jet penetration model was applied for the simulation of surface roughness with respect to process parameters and the most sensitive parameters were found by using sensitivity analysis.
      Keywords: abrasive; erosion; glass; slurry; jet; polishing; impact
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 68 - 91
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122782
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Fuzzy logic expert system-based machinability analysis in end milling of
           aluminium nitride ceramic

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      Authors: M.M. Reddy, Sim Lih Shenq, Prabhu Sethuramalingam
      Pages: 92 - 109
      Abstract: Aluminium nitride (AlN) ceramic is an excellent material that can be used in many industries due to its mechanical and thermal properties. End milling is a suitable method used for manufacturing aluminium nitride workpieces. The main objective was to optimise the cutting speed, feed rate and depth of cut. The design of the cutting parameter combinations was done by Box-Behnken design, and the response surface methodology was used to optimise the cutting parameter combinations. Experiments showed that the cutting parameters had the greatest influence on the surface roughness, followed by the feed rate and depth of cut. This experiment also proved that tool wear has a negative effect on the surface roughness of the workpiece. Fuzzy logic expert system is used in modelling of end milling processes to predict the surface roughness on aluminium nitride ceramic.
      Keywords: expert system; fuzzy logic analysis; aluminium nitride ceramic; surface roughness; end milling
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 92 - 109
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122779
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Performance analysis of uncoated, TiN coated and cryotreated micro
           tungsten carbide tools while micromilling of Ti-6Al-4V

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      Authors: Narendra Bhople, Sachin Mastud, Rinku Mittal
      Pages: 110 - 131
      Abstract: Micromilling is one of the most suitable methods for machining of 3D complex micro-components. Precise micromilling is still a challenging task due to unpredictable tool life. Additional tool life improvements can also be realised by cryotreatment of carbide tools. In the present work, performance of tungsten carbide (WC) micromilling cutter has been enhanced by cryotreatment. The performance of cryotreated tools are benchmarked with uncoated and TiN coated tools while machining of Ti-6Al-4V. Metallurgical characterisation of cryotreated tools has revealed the increased <i>η</i> (eta) carbide phase. Cutting forces, surface roughness (Ra) and tool wear have been assessed for the evaluation of tool performance. TiN coated tool is most suitable to produce better surface finish, whereas built-up edge (BUE) is dominating for cryotreated tool. Cutting speed 60,000 rpm, feed 2 μm/flute, depth of cut 100 μm and TiN coated tool is appropriate to produce good surface finish in given parameter.
      Keywords: micromilling; cryotreated tools; uncoated; cutting force; tungsten carbide; TiN; Ti-6Al-4V alloy
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 110 - 131
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122781
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • A dual-layer approach for enhancing the tribological and machining
           performance of carbide tools in dry turning of mild-steel alloy

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      Authors: Kaleem Ahmad Najar, Sheikh Nazir Ahmad, M.A. Shah, Zahid Mushtaq, Sobura Altaf
      Pages: 132 - 148
      Abstract: Under heavy turning parameters the ordinary-carbide cutting inserts generally remain unsuccessful in the proper machining of Fe-based alloys. The present research revealed that the diamond coated-carbide tools are being considered as the best option among other hard cutting tools operating under drastic machining parameters. Since fabricating the nanocrystalline diamond (NCD) or microcrystalline diamond (MCD) mono-layers on carbide inserts is not enough to improve their overall experimental performance. Therefore, the duallayer diamond coating (DDC) was fabricated on surface modified tungsten carbide (WC-Co) inserts by connecting the films of NCD and MCD. The cutting performance was analysed on the diamond coated- and ordinary-tungsten carbide (WC-Co) inserts under unlubricated test conditions utilising a modern CNC lathe machine. The obtained experimental results confirmed that the dual-layer diamond coated-carbide tool shows superior mechanical and machining performances as compared to ordinary-one, operating within the same cutting parameters.
      Keywords: carbide tool; DDC; friction; hardness; mild-steel; turning; tool wear; BUE; adhesion; tool life
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 132 - 148
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122784
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Experimental investigation on effect of inclusion of graphene while
           machining Ti6Al4V

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      Authors: Maddamasetty Amrita, Bodduru Kamesh, Rukmini Srikant Revuru, M.S.S. Bharati, B. Chandu, S. Venugopal Rao
      Pages: 149 - 164
      Abstract: Ti6Al4V has wide usage in aircraft and marine industries on account of good strength/weight and corrosion resistant. But their machinability is difficult. Use of higher thermal conductivity graphene can help in extracting heat generated and improve the machinability of Ti6Al4V. The present work evaluates the effect of using graphene in two different forms while machining Ti6Al4V. In one form, graphene is mixed as additive in emulsifier oil and is sprayed as minimum quantity lubrication and in other form; graphene is filled in holes drilled on cutting tool to form self-lubricating tools. Use of 0.3 wt% graphene dispersed emulsifier oil showed best machining performance with 55% and 59% decrease in machining zone temperature and tool wear and among self-lubricating tools, G5 tool showed best performance with 12%, 34% and 35% reduction in cutting forces, machining zone temperature and tool wear respectively at 112 m/min with respect to dry turning.
      Keywords: Ti6Al4V; grapheme; minimum quantity lubrication; MQL; self-lubricating; cutting forces; flank wear; cutting temperature
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 149 - 164
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122791
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • Form variation management of products in Inconel 718 obtained through EDM
           process with circular shape brass electrodes

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      Authors: Sandeep Kumar, Subramanian Dhanabalan, Wilma Polini, Andrea Corrado
      Pages: 165 - 186
      Abstract: The main aim of this experimental work is to analyse the influence of circular shape brass electrodes and process parameters on material removal rate, tool wear and part form deviations in the EDM process of Inconel 718 nickel-based alloy in the die-sinking EDM process. Three major process parameters, namely peak current, pulse on time and pulse off time, were selected to perform experiments using 3 mm diameter circular shape brass electrodes. The influence of the selected process parameters was analysed using hybrid Taguchi and multi-criteria decision grey relational analysis methods on workpiece form deviations, electrode wear rate and material removal rate. The dominance of each process parameter was analysed with an artificial intelligence-based ANFIS model and the developed model showed a minimum mean percentage error. Finally, the form deviations on the holes of two plates obtained by the EDM process were transferred to an assembled product to verify its assembling.
      Keywords: electrical discharge machining; EDM; multi-objective optimisation; grey relational analysis; GRA; adaptive neuro-fuzzy inference system; ANFIS; form variation
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 165 - 186
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122789
      Issue No: Vol. 24, No. 1/2 (2022)
       
  • The dependence of the ploughing forces on the cutting speed

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      Authors: Alexey Popov, Iuliia Krasnikova
      Pages: 187 - 197
      Abstract: The ploughing forces (PFs) are one of the important parameters for calculating tool life. They directly affect the stress on the tool flank face and are responsible for the wear and tear conditions of the cutting tool as well. In this study we attempted to find the impact of cutting speed on PFs, that is, the relation between cutting speed and PFs. In this paper, PFs were estimated by a new comparison method in which forces at different points of contact are added (sum of the forces) to accurately measure the PFs. The PFs estimated with this method will be more accurate than previously used methods. This paper presents the measurement results of the PFs when turning stainless steel, structural steel and aluminium alloy materials. The results of experimental studies showed that an increase in cutting speed ranging from 50 to 200 m/min resulted in an increase in PFs by 1.4-3.2 times when turning with different flank wears.
      Keywords: cutting speed; ploughing forces; turning; uncut chip thickness; wear
      Citation: International Journal of Machining and Machinability of Materials, Vol. 24, No. 1/2 (2022) pp. 187 - 197
      PubDate: 2022-05-10T23:20:50-05:00
      DOI: 10.1504/IJMMM.2022.122790
      Issue No: Vol. 24, No. 1/2 (2022)
       
 
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