A hybrid approach to multi response optimization of micro milling process parameters using Taguchi method based graph theory and matrix approach (GTMA) and utility concept

Measurement ◽  
2018 ◽  
Vol 120 ◽  
pp. 43-51 ◽  
Author(s):  
D. Brahmeswara Rao ◽  
K. Venkata Rao ◽  
A. Gopala Krishna
Keyword(s):  
Graph Theory ◽  
Taguchi Method ◽  
Process Parameters ◽  
Hybrid Approach ◽  
Milling Process ◽  
Micro Milling ◽  
Matrix Approach ◽  
Utility Concept ◽  
Response Optimization

Machinability model and multi-response optimization of process parameters through regression and utility concept

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Rabin Kumar Das ◽  
Ramesh Kumar Nayak ◽  
Ramanuj Kumar ◽  
Bijaya Bijeta Nayak ◽  
Ashok Kumar Sahoo ◽  
...  
Keyword(s):  
Process Parameters ◽  
Utility Concept ◽  
Optimization Of Process Parameters ◽  
Response Optimization

Multi Response Optimization of the Hole Punching Process Parameters in the Leaf Spring Assembly Using the Grey Taguchi Method and Simulated Annealing Algorithm

2011 ◽  
Vol 110-116 ◽  
pp. 1691-1695
Author(s):  
Gopalsamy Gopalaramasubramaniyan ◽  
Ke Zhu
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Simulated Annealing Algorithm ◽  
Leaf Spring ◽  
Experimental Procedure ◽  
Grey Relational Grade ◽  
Response Optimization ◽  
Annealing Algorithm ◽  
Punching Process ◽  
Grey Relational

This paper presents an attempt to develop an approach to predict the optimal process parameters for the Hole punching process on sheet metal. The Taguchi method is used to define the experimental procedure by its orthogonal array. The multiple responses of the Hole punching process, hole diameter and hole offset are optimised by the Grey Relational Analysis procedure. The statistical analysis of variance reveals the significant parameters which affect the process by analyzing the input parameters with the grey relational grade. The Non linear model obtained by this analysis is further processed by a Meta heuristic algorithm to obtain the optimality.

Experimental Analysis of Laser Micro-Machining Process Parameters

2012 ◽  
Vol 713 ◽  
pp. 67-72
Author(s):  
Daniel Teixidor ◽  
I. Ferrer ◽  
Joaquim de Ciurana
Keyword(s):  
Process Parameters ◽  
Laser System ◽  
Milling Process ◽  
Machining Process ◽  
Micro Milling ◽  
Surface Finishing ◽  
Features Selection ◽  
Operational Parameters ◽  
Micro Channels ◽  
Hardened Tool Steel

This paper reports the characterization of laser machining (milling) process to manufacture micro-channels in order to understand the incidence of process parameters on the final features. Selection of process operational parameters is highly critical for successful laser micromachining. A set of designed experiments is carried out in a pulsed Nd:YAG laser system using AISI H13 hardened tool steel as work material. Several micro-channels have been manufactured as micro-mold cavities varying different process parameter. Results are obtained by evaluating the dimensions and the surface finish of the micro-channel. The dimensions and shape of the micro-channels produced with laser-micro-milling process exhibit variations. In general the use of low scanning speeds increases the quality of the feature in both surface finishing and dimensional.

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