• Mar 24, 2016 News!Vol.3, No.3 has been indexed by EI(Inspec)!   [Click]
  • Aug 14, 2017 News!IJMMM Vol.6, No.1 has been published with online version. 15 peer reviewed articles are published in this issue.   [Click]
  • Aug 11, 2017 News!IJMMM Vol.5, No.4 has been published with online version. 15 peer reviewed articles are published in this issue.   [Click]
General Information
    • ISSN: 1793-8198
    • Frequency: Quarterly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. K. M. Gupta, Prof. Ian McAndrew
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS), Engineering & Technology Digital Library,  ProQuest, Crossref, Ulrich's Periodicals Directory, DOAJ, and Electronic Journals Library .
    • E-mail ijmmm@ejournal.net
Editor-in-chief
Prof. Ian McAndrew
Embry Riddle Aeronautical University, UK.
It is my honor to be the editor-in-chief of IJMMM. I will do my best to help develop this journal better.

IJMMM 2017 Vol.5(2): 96-105 ISSN: 1793-8198
DOI: 10.18178/ijmmm.2017.5.2.298

Tolerance Design of Robot Parameters Using Generalized Reduced Gradient Algorithm

Trang Thanh Trung, Li Wei Guang, and Pham Thanh Long
Abstract—In robot design, how to allocate tolerances for parts in manufacturing and assembling of robot is very important because this directly affects product quality and manufacturing cost. This paper introduces a technique using the Generalized Reduced Gradient algorithm optimization to allocate tolerances into robot parts. This method consists of three steps. First, based on the particular structure of robot, various methods are considered before the best method suitable for modeling the associated equation is chosen. Then, a mathematical model for tolerance allocation is formulated and transferred into the non-linear multi-variable optimization problem. Finally, this optimization problem is solved by using the Generalized Reduced Gradient algorithm. Two examples are used to verify the feasibility of the proposed method; the accuracy and effectiveness of the proposed method in producing the tolerance allocations is also illustrated via calculation and simulation results.

Index Terms—Industrial robot, tolerances, optimization problem, generalized reduced gradient algorithm.

Trang Thanh Trung and Li Wei Guang are with the School of Mechanical and Automotive Engineering, South China University of Technology, China (e-mail: trangthanhtrung@gmail.com, wguangli@scut.edu.cn).
Pham Thanh Long is with the Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Viet Nam (e-mail: kalongkc@gmail.com).

[PDF]

Cite: Trang Thanh Trung, Li Wei Guang, and Pham Thanh Long, "Tolerance Design of Robot Parameters Using Generalized Reduced Gradient Algorithm," International Journal of Materials, Mechanics and Manufacturing vol. 5, no. 2, pp. 96-105, 2017.

Copyright © 2008-2015. International Journal of Materials, Mechanics and Manufacturing. All rights reserved.
E-mail: ijmmm@ejournal.net