Informatics Publishing Limited

A. Chandrakanth ¹, S. Gajanana ¹, B. Suresh Kumar Reddy ¹

Affiliations
1 Mechanical Engineering Department, M.V.S.R. Engineering College, Hyderabad, IN

Abstract

In production systems there are situations in which it is not possible to have a single rate of production throughout the production period and the same cost for each individual unit over the decades. Items are produced at different rates and at different sub-periods so as to meet the requirement. The costs incurred changes as the time progresses due to inflation. The price may vary for each unit depending not only on inflation but also various factors as demand, availability, working unit, setup place etc. This paper models a situation by assuming constant rate of demand, varying rates of production and a constant inflation rate. Special cases are also discussed and a case study is done.

Keywords

EOQ, Inflation.

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A. Chandrakanth ¹, S. Gajanana ¹, B. Kshetramohan ¹

Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad-501510, IN

Abstract

Wire-EDM as a precision cutting technology is possible to fabricate product of all ranges. In Wire EDM, the conductive materials are machined with a series of electrical discharges (sparks) that are produced between an accurately positioned moving wire (the electrode) and the work piece. High frequency pulses of alternating or direct current is discharged from the wire to the work piece with a very small spark gap through insulated dielectric fluid (water). In this current work Pulse on time, Wire tension and Spark gap voltage are the three parameters taken for optimization of MRR. The work piece is HSS M42 Grade and the work tool is brass wire of 0.25 mm dia. The Experiment was conducted in 8 runs using full factorial design and most significant factors are determined using ANOVA. Optimum values of parameters are obtained by using MatLab program (Genetic algorithm). Response surface methodology is also adopted to verify the accuracy of obtained mathematical model.

Keywords

Metal Removal Rate (MRR), High Speed Steel(HSS), Design of Experiments(DOE), Analysis of Variance (ANNOVA).

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