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Research Article

Minimising tool wear by optimisation (ANOVA) of cutting parameters in machining of 7075Al Alloy SiC particle composite

Pages 499-517 | Received 27 Aug 2020, Accepted 04 Jan 2021, Published online: 26 Jan 2021
 

ABSTRACT

In this experimental work, AA7075-15 wt. % SiC (10–20 µm) composite was made through stirring casting. Experiments were performed on this composite by tungsten carbide cutting tools of different nose radius at diverse cutting speeds, feed rate and depth of cut. Outcome of process parameters i.e cutting speeds, feed, depth of cut and nose radius on response i.e tool wear (flank & crater) was examined. Optimum amount of process parameters were obtained to minimise flank and crater wear using multi objective optimisation. According to outcomes of multi objective optimisation, optimum amount of cutting speed, feed, depth of cut and nose radius are 90.02 m/min, 0.15 mm/rev, 0.23 mm and 0.40 mm, respectively. Novelty this research is that little work is reported about optimisation of parameters while turning the AA7075-15 wt. %, to minimising tool wear. Aircraft, shipping and space industries demands machining with minimum amount of flank wear and crater wear.

Nomenclature

RSM=

Response Surface Methodology

MMCs=

Metal Matrix Composites

AA=

Aluminum Alloy

HSS=

High Speed Steel

UTM=

Universal Testing Machine

UTS=

Universal Tensile Strength

CNC=

Computerized Numerical Control

FCCCD=

Face Centered Central Composite Design

CCD=

Central Composite Design

ANOVA=

Analysis of Variance

CI=

Confidence Interval

PI=

Perfect Interval

UAT=

Ultrasonically Assisted Turning

CT=

Conventional Turning

WC=

Cemented Carbide

PCD=

Polycrystalline Diamond

Gr=

Graphite

BUE=

Build up Edge

SiC=

Silicon Carbide

Disclosure statement

There is no conflict of interest.

Authors Biography Dr Rajesh Kumar is currently serving as Professor at National Institute of Technology, Manipur India. He has published 40 research papers in reputed international journals, 23 papers in international conferences and 20 papers in national conferences. He has 24 years of experiance in teaching, research and administration. He is reviwer of 32 reputed international journals. He has delivered 20 invited lectures at confernce/workshop. His research interests are design of bio enabled structure, high performance computational modelling of engineered systems, multi disciplinary design optimization, cyber security in design and manufacturing, additive manufacturing of complex and composite material, anti reverse engineering technologies, artificial intelligence application in manufacturing, fabrication charactrization and machining of composite materials, micro manufacturing, nano materials and application of optimization techniques.

Additional information

Funding

No funding was received for this research work.

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