Optimization of machining conditions for effective turning of E0300 alloy steel

Manna, Alakesh; Salodkar, Sandeep M.

doi:10.1016/j.jmatprotec.2007.09.052

Cited by 29 publications

(12 citation statements)

References 5 publications

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“…Yang and Tarng [4] optimized the process parameters to minimize the tool wear rate using Taguchi approach. Several researchers were also used Taguchi technique to optimize the turning parameters like cutting speed, feed and depth of cut for performance measures like tool life, cutting force and surface finish [12,14,26,53,[73][74][75]. Nalbant et al [75] optimized the nose radius, feed rate, and depth of cut to minimize the surface roughness for turning of the AISI 1030 steel with Taguchi technique.…”

Section: B Research In Optimization Of Turning Processmentioning

confidence: 99%

An Overview on Turning Process

2015

International Conference on Advancements and Recent Innovations in Mechanical, Production and Industrial Engineering

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Abstract-Turning is one of the most popular convectional machining processes to remove the extra material from the rotating surfaces. In this process, a wedge shaped cutting tool penetrated toward the workpiece and removed the extra material in the form of chips. Almost all known materials can be machined by this process in different forms like external turning, internal turning, plain/cylindrical turning, step turning, taper turning, face turning etc. with selection of appropriate cutting tool for particular material. The aim of the present study is to summarize a report on the turning process including present and past research works. This paper present a brief overview on turning operation considering the different aspects and focus the future scopes of works in the same area, which is beneficial for the researches who work in the same field.

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Section: B Research In Optimization Of Turning Processmentioning

confidence: 99%

An Overview on Turning Process

2015

International Conference on Advancements and Recent Innovations in Mechanical, Production and Industrial Engineering

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“…Beside already mentioned limitations, the major shortcoming of these approaches is that correlations among responses are not explicitly addressed. Recently, Manna and Salodkar (2008) optimised turning process using Taguchi method and dynamic programming, where the objective function was considered known. However, the main issue is that the mathematical formulation of the process objective functions is frequently unknown in the industrial practice.…”

Section: Multiresponse Optimisation Based On Goal-programmingmentioning

confidence: 99%

Review of Multiresponse Process Optimisation Methods

Šibalija

Majstorovic

2015

Advanced Multiresponse Process Optimisation

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The review of methods used for multiresponse process parameter design and similar multiobjective optimisation problems is discussed in this chapter, implying the following classification: (1) conventional methods based on statistical or mathematical techniques: (i) experimental design techniques (response surface methodology, Taguchi's robust parameter design and related approaches), and (ii) iterative mathematical search techniques; (2) non-conventional methods based on artificial intelligence techniques: (i) fuzzy logic, (ii) artificial neural networks, (iii) metaheuristic search techniques (genetic algorithm, simulated annealing, particle swarm optimisation, ant colony optimisation, tabu search, and recent evolutionary algorithms such as artificial bee colony algorithm, biogeography-based optimisation, and teaching-learning-based optimisation), and (iv) expert systems.

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“…Among these parameters, cutting speed, feed rate and depth of cut are the primary parameters that should be selected properly for machining process to ensure good surface quality and to prolong tool life. The effect of cutting parameters on cutting force, cutting temperature, surface roughness and tool life have been modelled by various researchers [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Prelimenary Investigation of Parametric Optimization on Turning Process Using UVAT Tool Holder Based on Taguchi Method

2017

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Abstract. Determining of cutting parameters on cutting forces and cutting temperatures is critical during the turning operation. Most of the research is focused on cutting using special toolholder for conventional turning. In this study, the main objective is to study effect of cutting speed, feed rate and depth of cut on cutting force and cutting temperature of alumunium alloy (Al6061-T6) in turning operation. Two different design of UVAT toolholders (D1 and D2) were conducted. Experiments have been applied using Taguchi's experimental design technique. An orthogonal array, signal to noise ratio, and analysis of variance are employed to investigate cutting characteristics of each design. Experimental results show that cutting speed is the most significant machining parameter on cutting forces and cutting temperatures. Continously were followed by feed rate and depth of cut. The lowest cutting force and cutting temperature were obtained when the setting of cutting parameters are cutting speed is 50 m/min, feed rate is 0.05 mm/nin and depth of cut is 0.25 mm.

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Optimization of machining conditions for effective turning of E0300 alloy steel

Cited by 29 publications

References 5 publications

An Overview on Turning Process

An Overview on Turning Process

Review of Multiresponse Process Optimisation Methods

Prelimenary Investigation of Parametric Optimization on Turning Process Using UVAT Tool Holder Based on Taguchi Method

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