Application of dragonfly algorithm for optimal performance analysis of process parameters in turn-mill operations- A case study

International Conference on Advances in Materials and Manufacturing Applications 2017

Arun Vikram, K.^1 ; Ratnam, Ch^2 ; Lakshmi, V.V.K.^1 ; Sunny Kumar, A.^1 ; Ramakanth, R.T.^1

GITAM Institute of Technology, GITAM University, Visakhapatnam, India^1

Department of Mechanical Engineering, Andhra University, Visakhapatnam, India^2

关键词: Computer numerical control;    Grey relational analyses (GRA);    Multi-objective problem;    Multiresponse optimization;    Optimal performance;    Pareto optimal solutions;    Surface roughness (Ra);    Taguchi design of experiment;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/310/1/012154/pdf
DOI  :  10.1088/1757-899X/310/1/012154

来源: IOP

【 摘 要 】

Meta-heuristic multi-response optimization methods are widely in use to solve multi-objective problems to obtain Pareto optimal solutions during optimization. This work focuses on optimal multi-response evaluation of process parameters in generating responses like surface roughness (Ra), surface hardness (H) and tool vibration displacement amplitude (Vib) while performing operations like tangential and orthogonal turn-mill processes on A-axis Computer Numerical Control vertical milling center. Process parameters like tool speed, feed rate and depth of cut are considered as process parameters machined over brass material under dry condition with high speed steel end milling cutters using Taguchi design of experiments (DOE). Meta-heuristic like Dragonfly algorithm is used to optimize the multi-objectives like 'Ra', 'H' and 'Vib' to identify the optimal multi-response process parameters combination. Later, the results thus obtained from multi-objective dragonfly algorithm (MODA) are compared with another multi-response optimization technique Viz. Grey relational analysis (GRA).