Experimental Study in Micromilling of Inconel 718 by Fiber Laser Machining

Borse, Sachin; Kadam, M. S.

doi:10.1016/j.promfg.2018.02.031

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…In the absence of these materials, the industries did not have the ability to achieve high performance and efficiency. 39 Due to the lack of information on the milling of this alloy, it is selected as the material of interest. Table 1 shows the chemical composition of the alloy, and Table 2 represents its mechanical properties.…”

Section: Methodsmentioning

confidence: 99%

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Modeling and optimizing of cutting force and surface roughness in milling process of Inconel 738 using hybrid ANN and GA

Imani

Henzaki

Hamzeloo

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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Super-alloys have high thermal and mechanical strength and are widely used for heat exchangers, turbine blades, and other parts which work under severe creep conditions. Machinability of these alloys is directly affected by mechanical and physical properties. In addition, cutting force and surface roughness are two important factors in machinability of alloys. Hence, numerous studies have been conducted in order to illustrate their influences. However, among these alloys, the machining of Inconel 738 has been less studied. Milling parameters such as cutting speed, feed rate, the axial depth of cutting, and coolant have the most effects on machinability of nickel-based super-alloys. Therefore, in this research, they are considered as input parameters for investigation of milling of Inconel 738. The present study utilizes artificial intelligence as an effective method for predicting milling forces and surface roughness based on experimental results. To investigate the behavior of this alloy, four levels for the two former input parameters and two levels for the two other, totally 64 experiments, were fulfilled and studied. Based on the experimental results, the effect of input parameters on the outputs, that is, cutting force and surface roughness, was investigated, and then, neural network for modeling and predicting and genetic algorithm for the optimization of the outputs have been utilized. The optimized artificial network, which was obtained in this research, is useful for prediction of machining force and surface roughness of milling based on the values of cutting speed, feed rate, and the axial depth of cutting, for wet and dry milling of Inconel 738.

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Section: Methodsmentioning

confidence: 99%

“…The developed model had a well match with the experimental results. Furthermore, Borse and Kadam 39 studied the micro milling of Inconel 718. Regarding the importance of these super-alloys, researchers are still studying the behavior of these materials under milling machining.…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimizing of cutting force and surface roughness in milling process of Inconel 738 using hybrid ANN and GA

Imani

Henzaki

Hamzeloo

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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show abstract

“…Another laser-based process that has found a niche in the market is the Laser Beam Machining (LBM), where the laser beam is directly applied for melting and vaporizing unwanted material from the substrate surface [ 8 ]. As the LBM is a laser-based process, no cutting tools are required, and materials can be machined regardless their hardness [ 9 ]. In addition, LBM process applies a laser beam (usually smaller than 75 μm beam diameter) directly for removing surface material.…”

Section: Introductionmentioning

confidence: 99%

Combination of Laser Material Deposition and Laser Surface Processes for the Holistic Manufacture of Inconel 718 Components

et al. 2018

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The present work proposes a novel manufacturing technique based on the combination of Laser Metal Deposition, Laser Beam Machining, and laser polishing processes for the complete manufacturing of complex parts. Therefore, the complete process is based on the application of a laser heat source both for the building of the preform shape of the part by additive manufacturing and for the finishing operations. Their combination enables the manufacture of near-net-shape parts and afterwards removes the excess material via laser machining, which has proved to be capable of eliminating the waviness resulting from the additive process. Besides, surface quality is improved via laser polishing so that the roughness of the final part is reduced. Therefore, conventional machining operations are eliminated, which results in a much cleaner process. To validate the capability of this new approach, the dimensional accuracy and surface quality as well as the microstructure of the resulting parts are evaluated. The process has been validated on an Inconel 718 test part, where a previously additively built-up part has been finished by means of laser machining and laser polishing.

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“…Another laser-based process that has found a niche in the market is the Laser Beam Machining (LBM), where the laser beam is directly applied for melting and vaporizing unwanted material from the substrate surface [8]. As the LBM is a laser-based process, no cutting tools are required and materials can be machined regardless their hardness [9]. In addition, LBM process applies a laser beam (usually smaller than 75 m beam diameter) directly for removing surface material.…”

Section: Introductionmentioning

confidence: 99%

Combination of Laser Material Deposition and Laser Surface processes for the manufacture of sculptured surface components

Arrizubieta¹,

Cortina²,

Ruiz³

et al. 2018

Preprint

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The present work proposes a novel manufacturing technique based on the combination of Laser Metal Deposition, Laser Beam Machining and Laser Polishing processes for the complete manufacturing of complex parts. Therefore, the complete process is based on the application of a laser heat source both for the building of the preform shape of the part by additive manufacturing and for the finishing operations. Their combination enables to manufacture near-net-shape parts and afterwards, remove the excess material via laser machining, which has resulted to be capable of eliminating the waviness resulting from the additive process. Besides, surface quality is improved via laser polishing to reduce the roughness of the final part. Therefore, conventional machining operations are eliminated, what results in a much cleaner process. In order to validate the capability of this new approach, the dimensional accuracy and surface quality of the resulting parts are evaluated. The process has been validated on an Inconel 718 test part, where a previously additively built up part has been finished by means of laser machining and laser polishing.

show abstract

Experimental Study in Micromilling of Inconel 718 by Fiber Laser Machining

Cited by 5 publications

References 12 publications

Modeling and optimizing of cutting force and surface roughness in milling process of Inconel 738 using hybrid ANN and GA

Modeling and optimizing of cutting force and surface roughness in milling process of Inconel 738 using hybrid ANN and GA

Combination of Laser Material Deposition and Laser Surface Processes for the Holistic Manufacture of Inconel 718 Components

Combination of Laser Material Deposition and Laser Surface processes for the manufacture of sculptured surface components

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