Saravanan R

Department of Database Systems

School of Computer Science and Engineering

Vellore Campus

Ramabalan S

Ebenezer N.G.R

Dharmaraja C.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Applied Soft Computing

Design optimization of grippers should be decisive for felicitous applications, definitive results, and for the implementation to be efficacious. This paper concentrates on mathematical modelling of a three-jaw gripper, to procure the fundamental design parameters that are crucial for design constraints. Multi-objective design optimization formulation is adapted to calibrate multi-constraint design variables, to optimally obtain the dimensions of the links and dimensions of the actuating cylinder. The Gripper is analyzed for dynamic modelling, to compute gripping-force and gripping-width with precision. Compromised solution based on objective function formulation is applied, where the population is generated with genetic algorithm. This would deduce the optimal solution set among the generated population and the control variables are regulated by establishing a relation between decision variables and objective functions, such that we acquire better gripper ratio, gripper force analysis as wells design sensitivity analysis. © 2019 IEEE.

2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)

Design Optimization of Pneumatically Actuated Three Jaw Gripper Using Genetic Algorithm

Journal of the Association for Laboratory Automation

Modular Approaches to Automation System Design Using Industrial Robots

2007 IEEE Congress on Evolutionary Computation

Multi-objective differential evolution (MODE) for optimization of supply chain planning and management

Journal	Data powered by TypesetApplied Soft Computing
Publisher	Data powered by TypesetElsevier BV
ISSN	1568-4946
Open Access	0