An experimental investigation of hybrid manufactured SLM based Al-Si10-Mg alloy under mist cooling conditions

Ramoni, Monsuru; Shanmugam, Ragavanantham; Ross, Nimel Sworna; Gupta, Munish Kumar

doi:10.1016/j.jmapro.2021.08.045

Cited by 40 publications

(7 citation statements)

References 45 publications

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“…22,23 It is noteworthy to mention that, despite its numerous positive sides, some initiatives have been proposed for the improvements on MQL method owing to its poor cooling function at specific applications. 24,25 Cryogenic cooling technique uses low temperature coolant gas (mostly below À150°C) and sends it in the liquid form to cutting area with high pressure in order to reduce extreme cutting temperatures. 26,27 Considering that LN 2 and CO 2 are the most widely utilized coolants, it will be true to say that LN 2 is at the top of the list.…”

Section: Introductionmentioning

confidence: 99%

Measurement and analysis of sustainable indicators in machining of Armox 500T armor steel

Kuntoğlu

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Armox 500T is a special type of armor steels possessing superior mechanical properties suitable for use in vehicles and buildings need for first priority protection. Since these products are large-scale, welding groove need to be created before joining which can be done by milling operations. This study aims to address this point by questioning the impact of clean environments namely dry, minimum quantity lubrication (MQL) and LN2 based cryogenic cooling on the machining performance measures during milling. The novelty of this paper is the investigation of the effects of different cutting environments on the milling performance of Armox 500T armor steel. The results from this study showed that cryogenic medium has an impressive impact on controlling the temperatures at tool-chip interface which directly reduces flank wear development. In addition, cryogenic and MQL-assisted machining is much better than dry environment in achieving improved surface properties, chip shape and energy consumptions. Cryogenic cooling seems as the best option for hard milling pursued by MQL and dry environments respectively from the sustainability and machinability point of view.

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Section: Introductionmentioning

confidence: 99%

Measurement and analysis of sustainable indicators in machining of Armox 500T armor steel

Kuntoğlu

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…The common aspect of the processes classified under this group is to create layer in a powder bed of the part (DebRoy et al, 2018;Wen et al, 2019;Ramoni et al, 2021;Moeinfar et al, 2022;Li and Mizutani, 2023). The most commonly known processes are selective laser sintering (SLS), Selective Laser Melting (SLM) and Electron Beam Melting (EBM) processes (Xu, 2021).…”

Section: Powder Bed Fusionmentioning

confidence: 99%

A Short and Technical Review on Lattice Structures Produced by Additive Manufacturing

Özdemir

Korkmaz

2023

Prabha Materials Science Letters

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Additive manufacturing (AM), which has only relatively recently emerged as one of the most significant sectors, is currently the subject of a great number of research investigations. In contrast to machining, additive manufacturing (AM) is a process that involves the division of items into very thin layers, followed by the production of these layers by stacking previous layers atop one another. AM has found new application areas because to the decrease in weight as well as other advantages in a variety of industries including aviation, automotive, and biomedical. In this manner, features that cannot be acquired from solid materials have been disclosed through the utilization of various forms of lattice structures in accordance with the needs of the application. The design factors that impact the compression behavior of body-centered cubic (BCC) and face-centered cubic (FCC) type lattice structures, which are the most popular types of lattice structures used in additive manufacturing, were explored in this review work.

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“…Cryo condition decreases the Vb by 71% over dry cutting, 60% over flood cooling and 48% over the MQL approach. Cryo cooling at the cutting region reduces the Vb drastically by lessening the cutting temperature (Ramoni et al, 2021). An increase in Vb was displayed as a reason for the increase in feed (Ciftci et al, 2004).…”

Section: Machining Parameters On Flank Wearmentioning

confidence: 99%

A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models

et al. 2023

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Cutting tool condition is crucial in metal cutting. In-process tool failures significantly influences the surface roughness, power consumption, and process endurance. Industries are interested in supervisory systems that anticipate the health of the tool. A methodology that utilizes the information to predict problems and to avoid failures must be embraced. In recent years, several machine learning-based predictive modelling strategies for estimating tool wear have been emerged. However, due to intricate tool wear mechanisms, doing so with limited datasets confronts difficulties under varying operating conditions. This article proposes the use of transfer learning technology to detect tool wear, especially flank wear under distinct cutting environments (dry, flood, MQL and cryogenic). In this study, the state of the cutting tool was determined using the pre-trained networks like AlexNet, VGG-16, ResNet, MobileNet, and Inception-V3. The best-performing network was recommended for tool condition monitoring, considering the effects of hyperparameters such as batch size, learning rate, solver, and train-test split ratio. In light of this, the recommended methodology may prove to be highly helpful for classifying and suggesting the suitable cutting conditions, especially under limited data situation. The transfer learning model with Inception-V3 is extremely useful for intelligent machining applications.

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An experimental investigation of hybrid manufactured SLM based Al-Si10-Mg alloy under mist cooling conditions

Cited by 40 publications

References 45 publications

Measurement and analysis of sustainable indicators in machining of Armox 500T armor steel

Measurement and analysis of sustainable indicators in machining of Armox 500T armor steel

A Short and Technical Review on Lattice Structures Produced by Additive Manufacturing

A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models

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