Thermal analysis of laser surface transformation hardening—optimization of process parameters

Komanduri, R.; Hou, Zhen Bing

doi:10.1016/j.ijmachtools.2004.01.011

Cited by 38 publications

(9 citation statements)

References 15 publications

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“…Several researchers developed numerical models for predicting the temperature distribution during the laser heat treatment process [8] [9] [10] [11] [12]. Billaud et al established simple models to predict the hardness profile in the case of mechanical parts treatment based on 3D numerical simulations models using the finite element method [8].…”

Section: Thermal Conductionmentioning

confidence: 99%

Numerical Investigation of Laser Surface Hardening of AISI 4340 Using 3D FEM Model for Thermal Analysis of Different Laser Scanning Patterns

Tarchoun¹,

Ouafi²,

Chebak³

2020

MNSMS

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Laser surface hardening is becoming one of the most successful heat treatment processes for improving wear and fatigue properties of steel parts. In this process, the heating system parameters and the material properties have important effects on the achieved hardened surface characteristics. The control of these variables using predictive modeling strategies leads to the desired surface properties without following the fastidious trial and error method. However, when the dimensions of the surface to be treated are larger than the cross section of the laser beam, various laser scanning patterns can be used. Due to their effects on the hardened surface properties, the attributes of the selected scanning patterns become significant variables in the process. This paper presents numerical and experimental investigations of four scanning patterns for laser surface hardening of AISI 4340 steel. The investigations are based on exhaustive modelling and simulation efforts carried out using a 3D finite element thermal analysis and structured experimental study according to Taguchi method. The temperature distribution and the hardness profile attributes are used to evaluate the effects of heating parameters and patterns design parameters on the hardened surface characteristics. This is very useful for integrating the scanning patterns' features in an efficient predictive modeling approach. A structured experimental design combined to improved statistical analysis tools is used to assess the 3D model performance. The experiments are performed on a 3 kW Nd:Yag laser system. The modeling results exhibit a great agreement between the predicted and measured values for the hardened surface characteristics. The model evaluation reveals also its ability to provide not only accurate and robust predictions of the temperature distribution and the hardness profile as well an in-depth analysis of the effects of the process parameters.

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Section: Thermal Conductionmentioning

confidence: 99%

Numerical Investigation of Laser Surface Hardening of AISI 4340 Using 3D FEM Model for Thermal Analysis of Different Laser Scanning Patterns

Tarchoun¹,

Ouafi²,

Chebak³

2020

MNSMS

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“…Using the analytical heating model of Komanduri and Hou [13], the relationship between these variables was determined with NAB as the substrate material. Using the analytical heating model of Komanduri and Hou [13], the relationship between these variables was determined with NAB as the substrate material.…”

Section: Modeling Of the Laser Heating Of Nabmentioning

confidence: 99%

Laser surface treatment to improve the surface corrosion properties of nickel-aluminum bronze

Cottam

Brandt

2015

Laser Surface Engineering

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“…Similarly, the percentage contributions of each variable on the helix variation-(Right) is calculated and given in the Table 11. Optimum set of variables for helix variations (Right) are found by adopting the Lower is better strategy [8]. The results are given in Table 9.…”

Section: Prediction Of Mean Response (Helix Variations-left)mentioning

confidence: 99%

Thermal and Metallurgical Effects Associated with Gas Carburized and Induction Hardened Components~!2009-10-06~!2009-10-27~!2010-02-10~!

Palaniradja¹,

Alagumurthi²,

Soundararajan³

2010

TOMSJ

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Dimensional distortion occurs due to the thermal and transformation stresses formed during the heat treatment processes. Taguchi and Factorial design of experiment concepts were applied to optimize the operating variables involved in the gas carburising and induction hardening processes so as to minimize the geometrical distortions. Experimental data obtained for the materials EN353, EN351, AISI 4140, and AISI 9255 were analyzed by Response graph method and Signal to Noise method. Even though, EN 351 and EN 353 are having the same carbon percentage, EN 353 gives minimal dimensional and volume changes because of the presence of three alloying elements namely cobalt, molybdenum and nickel. Analysis by variance (ANOVA) results indicated that the furnace temperature and quenching time in the gas carburising process were the variables which had more influence on distortion. The percentage deviations between the experimental and predicted results for the runout and helix variations were in the range of 7 to 10%.

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Thermal analysis of laser surface transformation hardening—optimization of process parameters

Cited by 38 publications

References 15 publications

Numerical Investigation of Laser Surface Hardening of AISI 4340 Using 3D FEM Model for Thermal Analysis of Different Laser Scanning Patterns

Numerical Investigation of Laser Surface Hardening of AISI 4340 Using 3D FEM Model for Thermal Analysis of Different Laser Scanning Patterns

Laser surface treatment to improve the surface corrosion properties of nickel-aluminum bronze

Thermal and Metallurgical Effects Associated with Gas Carburized and Induction Hardened Components~!2009-10-06~!2009-10-27~!2010-02-10~!

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