Effect of Tool Geometry in Turning AISI 1045 Steel: Experimental Investigation and FEM Analysis

Senthilkumar, N.; Tamizharasan, T.

doi:10.1007/s13369-014-1054-2

Cited by 41 publications

(18 citation statements)

References 21 publications

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“…Considering that Al alloy based B 4 Cp composites being light weight functional material for emerging industrial applications have potential applications including strategic sectors structural neutron absorber, armor plate materials, brake disks for automotive industry and as a substrate material for computer hard disks [16,52,53], and only limited studies are made on Al 6061-B 4 Cp composites prepared by casting route melt infiltration, but none seems to have evaluated the impact properties [14,15,21,37,40,42,[45][46][47] a detailed study was undertaken by the authors. Main objectives of such a study was to develop Al-6061 alloy based composites containing B 4 C by liquid metallurgy using 'stir casting' technique or 'vortex' technique and subjecting it to both conventional plastic deformation (CPD-Extrusion) as well as severe plastic deformation (SPD-Twist Extrusion) processes and characterize all these three types of composites for their morphology and various properties.…”

Section: Introductionmentioning

confidence: 99%

Effect of mechanical and thermal loading on boron carbide particles reinforced Al-6061 alloy

Niranjan¹,

Satyanarayana

2015

Materials Science and Engineering: A

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Section: Introductionmentioning

confidence: 99%

Effect of mechanical and thermal loading on boron carbide particles reinforced Al-6061 alloy

Niranjan¹,

Satyanarayana

2015

Materials Science and Engineering: A

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“…In a similar way from Interaction plot deals the interaction effects through graphical illustration and attributing the better realization of interactions between the control parameters that are selected. Interaction between the factors exists, when the graph lines are non-parallel and not exist for the parallel graph lines [32]. Interaction plots for all responses (VBc, Ra, and CRC) are displayed in Figure 8 From the surface plot of VBc in Figure 9, the surface is lifting upwards after 140 m/min of speed this ensure that the flank wear rapidly increases when cutting speed exceeds to 140 m/min and it is evident from ANOVA which shows the contribution of speed towards VBc is 46.54%.…”

Section: Parametric Effects Study Through Graphical Plots and Anovamentioning

confidence: 99%

Hard Turning on JIS S45C Structural Steel: An Experimental, Modelling and Optimisation Approach

Kumar¹,

Modi²,

Panda³

et al. 2019

IJAME

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The present research is performed while turning of JIS S45C hardened structural steel with the multilayered (TiN-TiCN-Al2O3-TiN) CVD coated carbide insert by experimental, modelling and optimisation approach. Herein, cutting speed, feed rate, and depth of cut are regarded as input process factors whereas flank wear, surface roughness, chip morphology are considered to be measured responses. Abrasion and built up-edge are the more dominant mode of tool-wear at low and moderate cutting speed while the catastrophic failure of tool-tip is identified at higher cutting speed condition. Moreover, three different Modelling approaches namely regression, BNN, and RNN are implemented to predict the response variables. A Back-propagation neural network with a 3-8-1 network architecture model is more appropriate to predict the measured output responses compared to Elman recurrent neural network and regression model. The minimum mean absolute error for VBc, Ra and CRC is observed to be as 1.36% (BNN with 3- 8-1 structure), 1.11% (BNN with 3-8-1 structure) and 0.251 % (RNN with 3-8-1 structure). A multi-performance Optimisation approach is performed by employing the weighted principal component analysis. The optimal parametric combination is found as the depth of cut at level 2 (0.3 mm)-feed at level 1 (0.05 mm/rev) – cutting speed at level 2 (120 m/min) considered as favourable outcomes. The predicted results were validated through a confirmatory trial providing the process efficiency. The significant improvement for S/N ratio of CQL is observed to be 9.3586 indicating that the process is well suited to predict the machining performances. In conclusion, this analysis opens an avenue in the machining of medium carbon low alloy steel to enhance the machining performance of multi-layered coated carbide tool more effectively and efficiently.

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“…O experimento foi planejado de forma a utilizar a análise fatorial completa para avaliar como os fatores em estudo influenciaram na rugosidade das barras torneadas. Os quatro fatores de usinagem e propriedades da ferramenta de corte estudados neste experimento foram: (1) ângulo de saída γ, (2) raio de quina rε, (3) velocidade de corte vc e (4) avanço f. A escolha dos fatores investigados ocorreu através da revisão de trabalhos que citaram estes quatro fatores como fortemente responsáveis pela integridade da superfície, em especial a rugosidade, de ligas metálicas como o aço SAE 1045 [12,13,14,15,16,17,18,19]. O quinto parâmetro explorado no DOE foi a região de medição da rugosidade, ou posição axial, e está detalhado na seção 2.4.…”

Section: Planejamento Do Experimento (Doe)unclassified

Análise da rugosidade superficial de barras de aço SAE 1045 após torneamento

Biasibetti

Nunes

Cavaler³

et al. 2019

Matéria (Rio J.)

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RESUMO Neste trabalho foram investigadas as influências de alguns dos principais fatores do torneamento sobre o acabamento da superfície e a rugosidade de uma peça torneada. Foram analisadas barras de aço SAE 1045 torneadas em um torno controle numérico computadorizado (CNC), com auxílio da técnica de Planejamento de experimentos (DOE) para formar trinta e duas diferentes combinações de fatores, analisar suas interações e sua influência no acabamento de cada amostra. Os fatores de usinagem investigados foram: (1) avanço, (2) velocidade de corte, (3) raio de quina, (4) ângulo de saída e (5) região de medição da rugosidade. Por meio do DOE foram realizadas duas análises fatoriais: a primeira avaliou a influência dos cinco fatores na rugosidade média, representada por Ra, e a segunda avaliou a eficácia de cada conjunto de fatores em obter o acabamento alvo. Para isso, foi criado um índice que relaciona a rugosidade teórica de cada processo com a rugosidade medida pelo rugosímetro. Os resultados mostraram que o avanço e o raio de quina possuem elevado efeito padronizado em ambas as análises. Porém, enquanto a aplicação de um menor avanço (ou maior raio de quina) produziu superfícies com baixa Ra, por outro lado também prejudicou a eficácia do torneamento, pois contribuiu para obtenção de uma rugosidade significativamente maior que a rugosidade teórica. Já o fator velocidade de corte foi benéfico ao processo em ambas as análises. Não foi encontrada relevância da região de medição da rugosidade sobre a rugosidade média, Ra.

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Effect of Tool Geometry in Turning AISI 1045 Steel: Experimental Investigation and FEM Analysis

Cited by 41 publications

References 21 publications

Effect of mechanical and thermal loading on boron carbide particles reinforced Al-6061 alloy

Effect of mechanical and thermal loading on boron carbide particles reinforced Al-6061 alloy

Hard Turning on JIS S45C Structural Steel: An Experimental, Modelling and Optimisation Approach

Análise da rugosidade superficial de barras de aço SAE 1045 após torneamento

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