کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7216535 | 1470206 | 2018 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Kinematic analysis and geometrical improvement of an industrial robotic arm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Kinematic analysis and geometrical improvement of an industrial robotic arm Kinematic analysis and geometrical improvement of an industrial robotic arm](/preview/png/7216535.png)
چکیده انگلیسی
Industrial robots are the most manufactured and used types of robots in the production industry these days to minimize the labor cost. Many industries must have the benefit of using them for their batch production. In order to enhance its performance improvement of design of industrial robots is required, which will direct the further enhancement in the Robotics industry. Therefore, there is an effort to give the concept of optimum design of the robot by considering the different design parameters which makes it more efficient and reliable to use in the manufacturing industry. Nowadays, for optimization the modeling and simulation tools are the widely used to facilitate and accelerate the design processes such as dynamic simulation, structural analysis, optimization in order get an industrial robot design and optimization framework. In this research, focus is to investigate the feasibility of integrating tools from different domains such as Parametric CAD modeling and FEA, which gives a concept to the industrialist how to get an optimum arm design to increase their production rate etc. Inverse kinematic analysis which is done using Robo-Analyzer which has the ability to give optimum position and orientation of desired robotic arm, by considering the IKA, meta modeling is done to get an optimum design of arm using Solid works after that structural analysis of different designs are done using Ansys simulation tool, an optimum design of arm is recommended after evaluating the results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of King Saud University - Engineering Sciences - Volume 30, Issue 3, July 2018, Pages 218-223
Journal: Journal of King Saud University - Engineering Sciences - Volume 30, Issue 3, July 2018, Pages 218-223
نویسندگان
Kazim Raza, Tauseef Aized Khan, Naseem Abbas,