Dhananjay Ojha, M.Tech.(ME) Scholar, Atif Ismaile, M.Tech.(ME) Scholar, Mohammad Taslim, M.Tech.(ME) Scholar
Mechanical Engineering department, B.N. College of Engineering and Technology, Lucknow, India.
RESPONSE SURFACE METHODOLOGY FOR OPTIMIZING MACHINING PARAMETERS IN TURNING OPERATION
Authors
Abstract
Metal matrix composites (MMCs) represent a crucial category of style and square measure
mass-economical structural materials that square measure encouraging each field of manufacturing
tenders. It takes Associate in Nursing collective curiosity in mixtures having solidity and short price
backups. Amid varied intermittently spread artifacts castoff, aluminum oxide is an amongst the
foremost cheap then compactness strengthening out there massive amounts for instance solid excess
through-invention throughout burning of coal in thermal power plants. Hereafter, mixtures by
aluminum oxide as strengthening square measure possible beat value fence aimed at varied unfold
solicitations in motorized and little engine solicitations to supply Al matrix forged element mixtures,
wet ability the ceramic atoms by liquid Al is crucial to boost wet ability, parts such as aluminum oxide
square measure adscititious into Al soften to include the ceramic particles. the current work has been
targeted on the employment of pr out there industrial waste. Aluminum oxide in helpful manner by
dispersing it into aluminum oxide matrix to made composites by mechanical stir casting. Wide size
varies (0.1- 100μm) aluminum oxide elements were used. The properties like tensile strength,
hardness, toughness which are related to mechanical is investigated during my work . The
experimental investigation of hybrid metal matrix composites with Aluminium and Alumina reinforced
aluminum alloy (Al 6064) composites samples 5%, 10%,15%, 20%,25% and 30% volume fraction
applied for the purpose of production and testing of the materials. Also the machining parameters of
Lathe Machine in turning namely the speed, feed, depth of cut and nose radius are optimize by using
response surface methodology.