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Analysis of parametric influence on delamination in high-speed drilling of carbon fiber reinforced plastic composites
In this paper, the effects of process parameters on delamination during high-speed drilling of carbon fiber reinforced plastic (CFRP) composite are presented. The damage caused at the entrance of theExpand
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Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model
Abstract The carbon fiber reinforced plastics (CFRP) are highly promising materials for the applications in aeronautical and aerospace industries. The delamination is a major problem associated withExpand
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Taguchi multiple-performance characteristics optimization in drilling of medium density fibreboard (MDF) to minimize delamination using utility concept
Abstract This paper presents the methodology of Taguchi optimization method for simultaneous minimization of delamination factor at entry and exit of the holes in drilling of SUPERPAN DECOR (melamineExpand
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Machinability investigations in hard turning of AISI D2 cold work tool steel with conventional and wiper ceramic inserts
Hard turning with ceramic cutting tool has several benefits over grinding process such as elimination of coolant, reduced processing costs, improved material properties, reduced power consumption andExpand
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Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models
Abstract Surface roughness prediction models using artificial neural network (ANN) are developed to investigate the effects of cutting conditions during turning of free machining steel,Expand
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A comparative study of the ANN and RSM modeling approaches for predicting burr size in drilling
This paper describes the comparison of the burr size predictive models based on artificial neural networks (ANN) and response surface methodology (RSM). The models were developed based on three-levelExpand
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Minimizing burr size in drilling using artificial neural network (ANN)-particle swarm optimization (PSO) approach
TLDR
This paper illustrates the application of particle swarm optimization (PSO) to select the best combination values of feed and point angle for a specified drill diameter in order to simultaneously minimize burr height and burr thickness during drilling of AISI 316L stainless steel. Expand
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An investigative study of delamination in drilling of medium density fibreboard (MDF) using response surface models
The delamination in drilling of medium density fibreboard (MDF) materials significantly reduces the performance and aesthetical aspects of the final product. Therefore, understanding the delaminationExpand
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Taguchi optimization in drilling of AISI 316L stainless steel to minimize burr size using multi-performance objective based on membership function
Abstract Burr in drilling plays an important role on product quality and hence it is essential to minimize the burr size at the production stage. This paper presents the application of TaguchiExpand
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Analysis of Machinability During Hard Turning of Cold Work Tool Steel (Type: AISI D2)
Hard turning is an attractive replacement for grinding operations due to numerous advantages such as low capital investment, shorter setup time, higher material removal rate, better surfaceExpand
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