Computer-aided analysis of a surface-roughness model for end milling

Alauddin, M.; Baradie, M.A. El; Hashmi, M.S.J.

doi:10.1016/0924-0136(95)01795-x

Cited by 120 publications

(57 citation statements)

References 3 publications

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“…Alauddin, M., El Baradie, M. A., and Hashmi, M. S.J., [8] used cutting speed, feed and depth of cut which are three important parameters to predict the surface roughness by using Particle swarm optimization. Tandon, V.,El-Mounayri.…”

Section: Page 250mentioning

confidence: 99%

Optimization of Milling Conditions by Using Particle Swarm Optimization Technique: A Review

Bahirje¹,

Potdar²

2014

IJETT

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Abstract-a review of publications associated with the optimization of milling conditions by particle swarm analysis method. Milling is the most common form of machining, a material removal process, which can create a variety of features on a part by cutting away the unwanted material In order to optimize the cutting conditions, the empirical relationships between input and output variables should be established in order to predict the output. Optimization of these predictive models helps us to select appropriate input variables for achieving the best output performance. In this review paper the study is covered regarding the optimization of different input parameters and results are analyzed.

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Section: Page 250mentioning

confidence: 99%

Optimization of Milling Conditions by Using Particle Swarm Optimization Technique: A Review

Bahirje¹,

Potdar²

2014

IJETT

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show abstract

“…The present study uses average roughness(Ra) for the characterisation of surface finish, since it is widely used in industry. By using factors such as cutting speed, feed rate and depth of cut, Hashmi et al [3,4] developed the surface roughness models and determined the cutting conditions for 190 BHN steel and Inconel 718. EI-Baradie [5] and Bandyopadhyay [6] have shown that by increasing the cutting speed, the productivity can be maximised and, at the same time, the surface quality can be improved.…”

Section: Previous Workmentioning

confidence: 99%

Optimization of Free-form Surfaces

Chudhary¹

2012

IOSRJMCE

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“…However, with an increase in the length of contact, the effective nose radius of the round insert also increases. We know that surface roughness is inversely proportional to the tool nose radius and in a conventional milling operation it is given by [12] surface toughness R a f 2 32r e (2) where, f is the feed rate, r e the nose radius. Therefore, an increase in the inclination angle increases the effective nose radius and hence improves the surface roughness in selfpropelled round inserts milling operation.…”

Section: Effect Of Inclination Anglementioning

confidence: 99%