Optimization of High Speed CNC End Milling Process of BSL 168 Aluminium Composite for Aeronautical Applications

Kumar, Ravinder; Alexis, John; Thangarasu, Vinoth

doi:10.1139/tcsme-2017-1043

Cited by 12 publications

(3 citation statements)

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“…In another research, DOE was used by Gologlu and Sakarya [11] and Dhokia et al [12] to predict the optimum level of surface roughness. Suresh Kumar et al [13] optimized CNC end milling of BSL168 using Box-Behnken design.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Optimization of CNC End Milling Process Parameters of Low‐Carbon Mold Steel Using Response Surface Methodology and Grey Relational Analysis

Kumar¹,

Kumar²,

Murugan³

et al. 2021

Advances in Materials Science and Engineering

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The manufacturing sectors are consistently striving to figure out ways to minimize the consumption of natural resources through rational utilization. This is achieved by a proper understanding of every minute influence of parameters on the entire process. Understanding the influencing parameters in determining the machining process efficacy is inevitable. Technological advancement has drastically improved the machining process through various means by providing better quality products with minimum machining cost and energy consumption. Specifically, the machining factors such as cutting speed, spindle speed, depth of cut, rate of feed, and coolant flow rate are found to be the governing factors in determining the economy of the machining process. This study is focused on improving the machining economy by enhancing the surface integrity and tool life with minimum resources. The study is carried out on low-carbon mold steel (UNS T51620) using Box–Behnken design and grey regression analysis. The optimized multiobjective solution for surface roughness (Ra), material removal rate (MRR), and power consumed (Pc) and tool life is determined and validated through the confirmatory run. The optimized set of parameters in Box–Behnken design and grey regression analysis with that of confirmatory runs shows a 10% deviation that proves the reliability of the optimization techniques employed.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Optimization of CNC End Milling Process Parameters of Low‐Carbon Mold Steel Using Response Surface Methodology and Grey Relational Analysis

Kumar¹,

Kumar²,

Murugan³

et al. 2021

Advances in Materials Science and Engineering

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“…Several researchers studied the effect of surface finish of the machined part and they concluded that it is a function of the cutting tool used for machining [13] and of the SSF used for holding the part during the process [14]. The flat and ball nose end mills can be used for better surface finish through rapid machining.…”

Section: Literature Reviewmentioning

confidence: 99%

Sacrificial Support Fixture Optimisation for the CNC Rapid Machining of Medical Parts with Thin Ends

Ramteke

Ashtankar

2019

TFAMENA

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The purpose of this paper is to develop a methodology for optimising the shape of automated sacrificial support fixture (SSF) design, so as to machine a part with thin ends (like the hip joint) using a rapid machining process. A sacrificial support fixture is created at the ends of the part to give support to the part during machining. Finite element analysis (FEA) is used to optimise the shape of sacrificial support fixture for the machining of a part via computer numerical control rapid prototyping (CNC-RP). The research work proves that the optimised design of a sacrificial support fixture has been extremely flexible in securing a variety of intricate parts having thin ends in the computer numerical control rapid prototyping machining. For rapid machining, a tapered support is best suited for the part with thin ends. The limitation of the optimised sacrificial support fixture, designed for an intricate part, is that it is applicable only to CNC machining with the four axis rotational setup.

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“…One of the effective means of solving this problem is the use of adaptive machine control systems. Adaptive control systems make it possible to intensify cutting conditions, increase tool life, increase the degree of equipment automation and reduce the number of operating personnel [1].…”

Section: Introductionmentioning

confidence: 99%

Control Subsystem for Adaptive Control of Technological Processes on Metal-Cutting Machines

Ahmadov,

Aliyeva

2024

Machine Building and Energy: New Concepts and Technologies (2nd MBENCT)

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The issues of constructing a control subsystem for adaptive control of technological processes on metal-cutting machines are considered. The implementation of control functions is carried out within the framework of adaptive control systems for cutting processes through the use of information about the power parameters of the cutting process, obtained on the basis of universal measuring converters. Measuring devices are an essential part of any adaptive control system and, in addition, have independent significance, since they can be used in systems for protecting equipment and diagnosing its condition. The quality of control and the reliability of measuring devices largely determine the effectiveness of the control system.

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Optimization of High Speed CNC End Milling Process of BSL 168 Aluminium Composite for Aeronautical Applications

Cited by 12 publications

References 0 publications

[Retracted] Optimization of CNC End Milling Process Parameters of Low‐Carbon Mold Steel Using Response Surface Methodology and Grey Relational Analysis

[Retracted] Optimization of CNC End Milling Process Parameters of Low‐Carbon Mold Steel Using Response Surface Methodology and Grey Relational Analysis

Sacrificial Support Fixture Optimisation for the CNC Rapid Machining of Medical Parts with Thin Ends

Control Subsystem for Adaptive Control of Technological Processes on Metal-Cutting Machines

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