Optimization of machining parameters during Drilling by Taguchi based Design of Experiments and Validation by Neural Network

Sreenivasulu, Reddy; SrinivasaRao, Chalamalasetti

doi:10.14488/bjopm.2018.v15.n2.a11

Cited by 4 publications

(3 citation statements)

References 4 publications

(5 reference statements)

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“…Not but not least, lastly discussed on the works done by Sreenivasulu etal [134][135][136][137][138][139][140][141][142]. They worked more on study of drilling burr formations in different ways of techniques using lot of experimentation at different levels carried out on different aluminium alloys and compared these results with developed analytical and simulation models in Deform-3D.…”

Section: Figure 20 Madm Methods Proposed By the Researchers In Variomentioning

confidence: 99%

Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020

Sreenivasulu¹,

SrinivasaRao

2019

Technological Engineering

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Burr formation during machining process is a vital role in the assembly lines, even though it is a non value added process but also care should be taken while machining due to non avoiding output generated at the end of material removal process. At present almost all manufacturing sectors faces lot of problems due to these issues and invest more money towards deburring still advanced manufacturing methods available. So, complete burr removal is not possible and only thing is reducing utmost by applying better optimizing techniques, to develop good mechanization methods, selecting optimum process parameters and their conditions. The aim this paper deals about research methods implemented by earlier authors on burr formation especially in drilling. The reason why the present authors selected the drilling is number of automotive and aircraft engineers struggling during structural building works because of these burrs wherever precise measurement needed. In this connection, the authors concentrate their study on previous researcher works related to investigations on experimentation, developing new theoretical mechanisms to minimize burrs, adapt a new technologies available to modify drill bit geometries such that improvement in the minimization of burrs. Finally found that research contributions by changing their drill bit geometry and cutting process parameters have been focused on utilizing the methodologies, changing time to time. In analyzing the performance characteristics with that of input process parameters, several mathematical and empirical models were developed by many researchers so far in their works. Efforts have been made in the direction of optimization of process parameters in drilling for minimizing burr size.

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Section: Figure 20 Madm Methods Proposed By the Researchers In Variomentioning

confidence: 99%

Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020

Sreenivasulu¹,

SrinivasaRao

2019

Technological Engineering

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“…It has been shown repeatedly that the primary burr formation can be significantly reduced by appropriately choosing tools and the machining conditions and parameters. Correctly understanding mechanisms and relationships allows the machining process to be optimized for the burr size criterion [ 6 , 7 , 14 , 15 , 16 ]. In the literature on the subject matter, there are attempts to minimize the burr formation by controlling the following factors: tool geometry and material, type and method of application of cutting fluids, process parameters (in case of drilling: cutting speed, feed rate), type of machined material or the sequence of operations [ 7 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Titanium Alloy Drilling to Minimize the Secondary Burr after Deburring Process

Franczyk

Zębala

2022

Materials

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The formation of burrs on the edges of machined surfaces is one of the inherent problems during machining. The burrs are formed both on the tool entry surface and exit surfaces. The paper proposes a modification of the drill involving an additional cutting insert located in the shank part. This innovative solution allowed the drill and deburring insert to be integrated, enabling both processes to be performed within one machining operation. The impact of the selected insert geometry and deburring process parameters on the size of burrs was determined during the experimental studies. Using the proposed deburring process for the Ti6Al4V titanium alloy, with appropriately chosen tool geometry and cutting parameters, reduces the secondary burr height by more than 90% compared to the original value.

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“…The machined surface quality is determined, along many other factors, by some process variables, the most important being feed rate, rotational speed, and depth of cut. To investigate the influence of these variables on surface quality and moreover to optimize the cutting process, many modelling techniques and methods [6,7] are used, such as Taguchi method [8][9][10], analysis of variance (ANOVA) [1,11] or artificial neural networks (ANN) [5,12,13]. Using these methods and techniques, several studies investigating the correlation between process variables and output quality are available in the literature.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Investigation on the Effect of Cutting Parameters on Surface Roughness and Flatness in Dry Milling of Pmma

Susac¹,

Frumuşanu²

2022

IJMMT

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Polymethylmethacrylate (PMMA) also known as Plexiglass is a commonly used material for many applications, especially in medical industry. In some application, PMMA parts may be also used as molds for enabling fabrication of final products. Some of these parts are manufactured by injection molding, but in many cases mechanical machining of some surfaces is still required. The cutting of PMMA requires a previous optimization of the cutting parameters combination (feed rate and spindle speed). If this optimization is not carried out, the problems encountered may refer to cutting debris or material melting during machining and, consequently, the material attaches to the tool cutting edge. This will result in a surface with very poor quality, in terms of aspect and surface roughness. This paper reports on the preliminary experimental investigation of cutting parameters on the surface roughness and flatness error in dry milling of PMMA. The cutting experiments were conducted on EMCO MILL 55 CNC drilling and milling machine. The design of experiment (DOE) consists in L27 (33) design, meaning a three factorial experimental plan (3 factors on 3 levels). The cutting parameters, respectively depth of cut, feed rate and spindle speed are taken as inputs and surface roughness and flatness are taken as outputs. The surface flatness was measured with TESA Micro-Hite coordinate measuring machine. Analysis of variance (ANOVA) was adopted to identify the statistical influence of each input parameter and combination of input parameters on surface roughness. From the preliminary results, it can be observed that optimum regime is a combination of low feed rate, low depth of cut and high spindle speed. Moreover, an artificial neural model is proposed for prediction of surface roughness and flatness considering the depth of cut, feed rate and spindle speed as input variables. This approach aims to reveal the possibility of predicting the output parameters using neural network modelling, that can be further used to optimize the cutting regime.

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Optimization of machining parameters during Drilling by Taguchi based Design of Experiments and Validation by Neural Network

Cited by 4 publications

References 4 publications

Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020

Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020

Optimization of Titanium Alloy Drilling to Minimize the Secondary Burr after Deburring Process

Preliminary Investigation on the Effect of Cutting Parameters on Surface Roughness and Flatness in Dry Milling of Pmma

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