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  Subjects -> COMPUTER SCIENCE (Total: 1933 journals)
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3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 7)
Abakós     Full-text available via subscription  
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 51)
ACM Computing Surveys     Full-text available via subscription   (Followers: 16)
ACM Journal on Computing and Cultural Heritage     Full-text available via subscription   (Followers: 5)
ACM Journal on Emerging Technologies in Computing Systems     Full-text available via subscription   (Followers: 8)
ACM Transactions on Accessible Computing (TACCESS)     Full-text available via subscription   (Followers: 4)
ACM Transactions on Algorithms (TALG)     Full-text available via subscription   (Followers: 13)
ACM Transactions on Applied Perception (TAP)     Full-text available via subscription   (Followers: 6)
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ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Full-text available via subscription   (Followers: 6)
ACM Transactions on Computation Theory (TOCT)     Full-text available via subscription   (Followers: 14)
ACM Transactions on Computational Logic (TOCL)     Full-text available via subscription   (Followers: 3)
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ACM Transactions on Computer-Human Interaction     Full-text available via subscription   (Followers: 8)
ACM Transactions on Computing Education (TOCE)     Full-text available via subscription   (Followers: 2)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Full-text available via subscription   (Followers: 2)
ACM Transactions on Economics and Computation     Full-text available via subscription  
ACM Transactions on Embedded Computing Systems (TECS)     Full-text available via subscription   (Followers: 3)
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Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
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Advances in Porous Media     Full-text available via subscription   (Followers: 3)
Advances in Remote Sensing     Open Access   (Followers: 9)
Advances in Science and Research (ASR)     Open Access   (Followers: 7)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 5)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AGE     Hybrid Journal   (Followers: 4)
Age and Ageing     Hybrid Journal   (Followers: 39)
AI EDAM     Hybrid Journal  
Air, Soil & Water Research     Open Access   (Followers: 6)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 4)
Algebras and Representation Theory     Hybrid Journal  
Algorithmica     Hybrid Journal   (Followers: 4)
Algorithms     Open Access   (Followers: 9)
American Journal of Applied Sciences     Open Access   (Followers: 29)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 2)
American Journal of Computational Mathematics     Open Access   (Followers: 1)
American Journal of Information Systems     Open Access   (Followers: 2)
American Journal of Sensor Technology     Open Access   (Followers: 1)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 4)
Analysis in Theory and Applications     Hybrid Journal  
Animation Practice, Process & Production     Hybrid Journal   (Followers: 6)
Annals of Combinatorics     Hybrid Journal   (Followers: 6)
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Annals of Pure and Applied Logic     Open Access   (Followers: 2)
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Annual Reviews in Control     Hybrid Journal   (Followers: 5)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 7)
Applied Categorical Structures     Hybrid Journal   (Followers: 1)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 9)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Environmental Education & Communication     Hybrid Journal   (Followers: 12)
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Applied Mathematics and Computation     Hybrid Journal   (Followers: 63)
Applied Medical Informatics     Open Access   (Followers: 7)
Applied Numerical Analysis & Computational Mathematics     Hybrid Journal   (Followers: 5)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 7)
Applied Soft Computing     Hybrid Journal   (Followers: 10)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 2)
Architectural Theory Review     Hybrid Journal   (Followers: 2)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 3)
Archives and Museum Informatics     Hybrid Journal   (Followers: 118)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 10)
Artifact     Hybrid Journal   (Followers: 2)

        1 2 3 4 5 6 7 8 | Last

Journal Cover   Assembly Automation
  [SJR: 0.439]   [H-I: 20]   [1 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0144-5154
   Published by Emerald Homepage  [311 journals]
  • Recent innovations in adhesive technology
    • Authors: Robert Bogue
      First page: 201
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose This article aims to provide an insight into recent innovations in adhesive technology by considering a selection of commercial developments and academic research activities. Design/methodology/approach Following an introduction, this article first discusses a selection of commercially developed adhesives used in the healthcare, photovoltaics and aerospace industries. It then considers biomimetic adhesive research, specifically dry adhesives which mimic the principles of gecko adhesion and wet adhesives based on the chemistry which underpins mussel adhesion. Finally, brief concluding comments are drawn. Findings This shows that new adhesives continue to be developed to meet a growing range of industrial requirements and a major research effort into biologically-inspired adhesion mechanisms is poised to yield new families of high performance adhesives. Originality/value This provides details of recent commercial and academic developments in adhesive technology.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:45:37Z
      DOI: 10.1108/AA-10-2014-081
       
  • Virtual assembly with physical information: a review
    • Authors: Keyan Liu, Xuyue Yin, Xiumin Fan, Qichang He
      First page: 206
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose The aim of this paper is to give a comprehensive survey on the Physics Based Virtual Assembly (PBVA) technology in a novel perspective, to analyse current drawbacks and propose several promising future directions. Design/methodology/approach To provide a deep insight of PBVA, a discussion of the developing context of PBVA and a comparison against Constraint Based Virtual Assembly (CBVA) is put forward. The core elements and general structure are analysed based on typical PBVA systems. Some common key issues as well as common drawbacks are discussed, based on which the research trend and several promising future directions are proposed. Findings Special attention is paid to new research progresses and new ideas concerning recent development as well as new typical systems of the technology. Advantages of PBVA over CBVA are investigated. Based on the analysis of typical PBVA systems and the evolution of PBVA, the core elements of the technology and the general structure of its implementation are identified. Then, current PBVA systems are summarized and classified. After that, key issues in the technology and current drawbacks are explored in detail. Finally, promising future directions are given, including both the further perfecting of the technology and the combination with other technologies. Originality/value The PBVA technology is put into a detailed review and analysis in a novel way, providing a better insight of both the theory and the implementation of the technology.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:44:39Z
      DOI: 10.1108/AA-09-2014-074
       
  • Uncertainty evaluation and optimization of INS installation measurement
           using Monte Carlo Method
    • Authors: Qing Wang, Peng Huang, Jiangxiong Li, Yinglin Ke
      First page: 221
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose To increase the measurement accuracy of assembly deviations of an inertial navigation system, a new evaluation and optimal method of assembly metrology system is proposed, which takes into account the uncertainty from laser tracker hardware and coordinate system transformation, and is based on the Monte Carlo method. Design/methodology/approach The uncertainty model of the laser tracker is established and its parameters are obtained from the known repeated test data by kriging interpolation and the least squares method. The errors of coordinate transformation are reduced by using a weighted point matching method, and the uncertainty of the transformation parameters is obtained based on the generalized inverse theory. The weighting coefficients of each reference point are optimized by the particle swarm optimization method according to the assembly requirements. Findings The experiment results show that measurement error and predicted results match well, and the assembly deviation uncertainty of large component is reduced by about 10% compared with the SVD method. Originality/value This paper proposes a method to evaluate and eliminate the influence of random errors of the laser tracker during evaluation process of coordinate translation parameters and assembly deviations. The proposed method would be useful to improve the assembly measurement accuracy through less measurement times.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:45:13Z
      DOI: 10.1108/AA-08-2014-070
       
  • Ambient intelligence for optimal manufacturing and energy efficiency
    • Authors: David Charles Robinson, David Adrian Sanders, Ebrahim Mazharsolook
      First page: 234
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose This paper describes the creation of innovative and intelligent systems to optimise energy efficiency in manufacturing. The systems monitor energy consumption using Ambient Intelligence and Knowledge Management technologies. Together they create a decision support system as an innovative add-on to currently used Energy Management Systems. Design/methodology/approach Energy consumption data are processed within a service-oriented-architecture based platform. The platform provides: (a) Condition-based energy consumption warning, (b) On-line diagnostics of energy related problems, (c) Support to manufacturing process lines installation and ramp-up phase, and (d) Continuous improvement/optimisation of energy efficiency. The systems monitor energy consumption using Ambient Intelligence and Knowledge Management technologies. Together they create a decision support system as an innovative add-on to currently used Energy Management Systems. Findings The systems produce an improvement in energy efficiency in manufacturing SMEs. The systems provide more comprehensive information about energy use and some knowledge-based support. Research limitations/implications Prototype systems were trialled in a manufacturing company that produces mooring chains for the offshore oil and gas industry; an energy intensive manufacturing operation. The paper describes a case study involving energy intensive processes that addressed different manufacturing concepts, and involved the manufacture of mooring chains for off-shore platforms. The system was developed to support online detection of energy efficiency problems. Practical implications Energy efficiency can eb optimised in assembly and manufacturing processes. The systems produce an improvement in energy efficiency in manufacturing SMEs. The systems provide more comprehensive information about energy use and some knowledge-based support. Originality/value This research was inspired by the need for industry to have effective tools for energy efficiency and that opportunities for industry to take up Energy Efficiency measures are mostly not carried out. The research combined Ambient Intelligence and Knowledge Management technologies and involved new uses of sensors including wireless intelligent sensor networks, to measure environment parameters and conditions as well as to process performance and behaviour aspects, such as material flow using smart tags in highly flexible manufacturing or temperature distribution over machines. The information obtained could be correlated with standard energy consumption data to monitor energy efficiency and identify problems. The new approach can provide effective ways to collect more information to give a new insight into energy consumption within a manufacturing system.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:45:30Z
      DOI: 10.1108/AA-11-2014-087
       
  • A subassembly identification method for truss structures manufacturing
           based on community detection
    • Authors: Hao Cao, Rong Mo, Neng Wan, Fang Shang, Chunlei Li, Dongliang Zhang
      First page: 249
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose This paper presents an automated method for complicated truss structure subassembly identification. Design/methodology/approach A community detecting algorithm is introduced and adapted to reach the target. The ratio between oriented bounding boxes of parts is used as the weight to reflect the compact degree of assembly relationships. We also propose a method to merge nodes together at cut-vertex in model, by which the solving process could be accelerated. Findings This method could identify the subassemblies of complex truss structures according the specific requirements. Research limitations/implications This research area is limited to truss structures. Implication: This research offers a new method in assembly sequences planning area. It could identify subassemblies in complex truss structures, with which the existing method is not adequate to deal. Practical implications This method could facilitate the complex truss structures assembly planning, lower the human errors and reduce the planning time. Originality/value All authors of this paper confirm that this manuscript is original and has not been submitted or published elsewhere.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:45:02Z
      DOI: 10.1108/AA-02-2015-011
       
  • Design of a novel dexterous robotic gripper for in-hand twisting and
           positioning within assembly automation
    • Authors: Fei Chen, Luca Carbonari, Carlo Canali, Mariapaola D'Imperio, Ferdinando Cannella
      First page: 259
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose The growing demand from traditional high-mix low-volume and new massive customized manufacturing industry requires the robot with configurability and flexibility. In electronic manufacturing industry particularly, the design of the robotic hand with sufficient dexterity and configuration is important for the robot to accomplish the assembly task reliably and robustly. It is important for the robot to be able to grasp and manipulate a large number of assembly parts or tools. Design/methodology/approach In this research, a novel jaw like gripper with human-sized anthropomorphic features is designed for online in-hand precise positioning and twisting. It retains the simplicity feature of traditional industrial grippers and dexterity features of dexterous robotic hands. Findings The gripper is able to apply suitable gripping force on assembly parts and performs reliable twisting movement within limited time to meet the industrial requirements. Manipulating several cylindrical assembly parts by robot, as an experimental case in this paper, is studied to evaluate its performance. The effectiveness of proposed gripper design and mechanical analysis is proved by the simulation and experimental results. Originality/value The main originality of this research is that a novel jaw gripper with human-sized anthropomorphic features is designed to be suitable for precise in-hand posture transitions, such as twisting and re-positioning. With this gripper, the robotic system will be sufficiently flexible to deal with various assembly tasks.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:44:21Z
      DOI: 10.1108/AA-05-2015-046
       
  • The generation of adaptive assembly from predicting change propagation
    • Authors: Hu Qiao, Rong Mo, Ying Xiang
      First page: 269
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose For a 3D CAD assembly in a changing process, there are two practical problems. One is delivering parameters’ information not smoothly. The other one is easily to destroy an assembly structure. Therefore, the paper puts forward to establish adaptive assembly to realize the adaptive changing of the models to improve the flexibility and reliability of assembly change. Design/methodology/approach The paper establishes associated parameters Design Structure Matrix(DSM)of related parts, and predicts possible propagation paths of the parameters. Based on the predicted path, structured storage is made for the affected parameters, tolerance range and the calculation relations. The study combines structured path information and all constrained assemblies to build the adaptive assembly, proposes an adaptive change algorithm for assembly changing, and discusses the extendibility of the adaptive assembly. Findings The approach would improve the flexibility and reliability of assembly change and be applied to different CAD platform. Practical implications According to examples illustrate the construction and adaptive behavior of the assembly, and verify the feasibility and reasonability of the adaptive assembly in the practical application. Originality/value The adaptive assembly model proposed in the paper is an original method to assembly change. And compared with other methods, good results have been obtained.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:45:06Z
      DOI: 10.1108/AA-02-2015-008
       
  • The compliance of robotic hands – from functionality to mechanism
    • Authors: Rui Li, Wei Wu, Hong Qiao
      First page: 281
      Abstract: Assembly Automation, Volume 35, Issue 3, August 2015.
      Purpose Introduce the physical structure and the control mechanism of human motor nervous system to the robotic system in a tentative manner to improve the compliance/flexibility/versatility of the robot. Design/methodology/approach A brief review is focused on the concept of compliance, the compliance-based methods, and the application of some compliance-based devices. Combined with the research on the physical structure and the control mechanism of human motor nervous system, a new drive structure and control method is proposed. Findings Introducing the physical structure and the control mechanism of human motor nervous system can improve the compliance/flexibility/versatility of the robot, without bringing in more complexity or inefficiency to the system, which helps in the assembly automation tasks. Originality/value The proposed drive structure and control method are useful to build up a novel, low-cost robotic assembly automation system, which is easy to interact and cooperate with humans.
      Citation: Assembly Automation
      PubDate: 2015-06-24T12:45:24Z
      DOI: 10.1108/AA-06-2015-054
       
  • Lasers in manufacturing: a review of technologies and applications
    • Authors: Robert Bogue
      First page: 161
      Abstract: Assembly Automation, Volume 35, Issue 2, April 2015.
      Purpose This article aims to provide details of the role that lasers play in manufacturing processes. Design/methodology/approach Following an introduction, this first considers laser technologies used in welding, cutting and drilling. Techniques which add material or modify a material’s properties, namely pulsed laser deposition, laser cladding, heat treatment and laser peening are then discussed. A number of specific applications are cited and finally, brief conclusions are drawn. Findings This shows that many laser-based processes are used to conduct a range of critical functions in the automotive, electronics, aerospace, power generation, medical and other industries. Originality/value This article illustrates the importance of lasers in a diversity of manufacturing processes.
      Citation: Assembly Automation
      PubDate: Fri, 24 Apr 2015 00:17:49 GMT
      DOI: 10.1108/AA-07-2014-066
       
  • Flexible tooling design technology for aircraft fuselage panel component
           pre-assembly
    • Authors: xining Li, xiaogang Dang, baoqiang Xie, yulong Hu
      First page: 166
      Abstract: Assembly Automation, Volume 35, Issue 2, April 2015.
      Purpose The purpose of this paper is to develop digital flexible pre-assembly tooling system for fuselage panels. Design/methodology/approach The paper analyses the technological characteristics of fuselage panels firstly, and then determines the pre-assembly object. Secondly the pre-assembly positioning method and assembly process are researched. Thirdly the panel components pre-assembly flexible tooling scheme is constructed. Finally the pre-assembly flexible tooling system is designed and manufactured. Findings This study shows the novel solution results in significantly smaller tooling dimensions, while providing greater stability. Digital flexible assembly is an effective way to reduce floor space, reduce delivery and production lead times, and improve quality. Practical implications The tooling designed in this case is actually used in industrial application. The flexible tooling can realize the pre-assembly for a number of fuselage panels, which is shown as an example in this paper. Originality/value The paper suggests fuselage panel pre-assembly process based on the thought including pre-assembly, the automatic drilling & riveting and jointing, and constructs flexible tooling system for aircraft fuselage panel component pre-assembly.
      Citation: Assembly Automation
      PubDate: Fri, 24 Apr 2015 00:17:43 GMT
      DOI: 10.1108/AA-06-2014-055
       
  • Variation modeling for fuselage structures in large aircraft digital
           assembly
    • Authors: Liang Cheng, Qing Wang, Jiangxiong Li, Yinglin Ke
      First page: 172
      Abstract: Assembly Automation, Volume 35, Issue 2, April 2015.
      Purpose The variation accumulated in a large aircraft assembly process will influence the dimensional accuracy and fatigue life of airframes. However, in digital large aircraft assembly, variation analysis and modeling are still unresolved issues. This paper presents a new variation modeling method for fuselage structures in digital large aircraft assembly. Design/methodology/approach An elastic structure model based on beam elements is developed, which is an equivalent idealization of the actual complex structure. The stiffness matrix of the structure model is obtained by summing the stiffness matrices of the beam elements. For each typical stage of the aircraft digital assembly process, including positioning, coordinating, joining and releasing, variation models are built using the simplified structure model with respective loads and boundary conditions. Findings Using position errors and manufacturing errors as inputs, the variations for every stage of the assembly process can be calculated using the proposed model. Practical implications This method has been used in a large fuselage section assembly project, and the calculated results were shown to be a good prediction of variation in the actual assembly. Originality/value Although certain assumptions have been imposed, the proposed method provides a better understanding of the assembly process and creates an analytical foundation for further work on variation control and tolerance optimization.
      Citation: Assembly Automation
      PubDate: Fri, 24 Apr 2015 00:17:46 GMT
      DOI: 10.1108/AA-07-2014-069
       
  • Dynamic prediction and compensation of aerocraft assembly variation based
           on state space model
    • Authors: Yujun Cao, Xin Li, Zhixiong Zhang, Jianzhong Shang
      Pages: 183 - 189
      Abstract: Assembly Automation, Volume 35, Issue 2, Page 183-189, April 2015.
      Purpose – This paper aims to clarify the predicting and compensating method of aeroplane assembly. It proposes modeling the process of assembly. The paper aims to solve the precision assembly of aeroplane, which includes predicting the assembly variation and compensating the assembly errors. Design/methodology/approach – The paper opted for an exploratory study using the state space theory and small displacement torsor theory. The assembly variation propagation model is established. The experiment data are obtained by a real small aeroplane assembly process. Findings – The paper provides the predicting and compensating method for aeroplane assembly accuracy. Originality/value – This paper fulfils an identified need to study how the assembly variation propagates in the assembly process.
      Citation: Assembly Automation
      PubDate: Tue, 26 May 2015 12:26:27 GMT
      DOI: 10.1108/AA-06-2014-056
       
  • Diagnosis of irregularities in the robotized part mating process based on
           contextual recognition of contact states transitions
    • Authors: Zivana Jakovljevic, Petar Petrovic, Dragan Milkovic, Miroslav Pajic
      First page: 190
      Abstract: Assembly Automation, Volume 35, Issue 2, April 2015.
      Purpose Recognition of contact states between parts during robotized part mating represents a significant element of the system for active compliant robot motion. All proposed information machines for contact states recognition will recognize one of the possible contact states even when irregular events in the process occur, and the active motion planner will continue to send commands to robot controller according to the planned trajectory. To detect irregularities in the process, in this paper we propose a system for part mating process monitoring. Design/methodology/approach The presented framework is based on general theory of automata and formal languages. Starting from possible regular contact states transitions in part mating, we create an automaton for diagnostics which besides regular accepts all irregular (observable and unobservable) process sequences. Findings Contact states do not appear arbitrarily during regular processes, but in certain context. Theory of automata represents a solid basis for contextual recognition and diagnosis of irregularities in part mating. Research limitations/implications The proposed methodology is elaborated and experimentally verified using an example of cylindrical part mating, and stick-slip effect as an observable irregularity. The future work will address the generation of diagnosers for other types of part mating tasks and extension of the set of observable irregularities. Practical implications The process diagnosis increases the robustness of active compliant motion system. Originality/value Although very important feedback information provider for active motion planner, part mating process monitoring was not frequently addressed in the past. In this paper we propose a methodology for generation of part mating process diagnoser that is based on general automata theory.
      Citation: Assembly Automation
      PubDate: Fri, 24 Apr 2015 00:17:39 GMT
      DOI: 10.1108/AA-10-2014-077
       
 
 
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