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Process parameter optimisation for selective laser melting of AlSi10Mg-316L multi-materials using machine learning method
The present work focuses on process parameter optimisation for selective laser melting (SLM) of AlSi10Mg-316L multi-materials using machine learning...
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Virtual commissioning and process parameter optimization of rolling mill based on digital twin
The vibration of the rolling mill has been a persistent issue affecting its safe and stable operation. To address the vibration problem in the F2...
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Cutting stress modeling and parameter identification for fine drilling process based on various cutting mechanisms
The superposition effect of various cutting mechanisms (CM) in the fine drilling process brings great challenges to the accurate characterization of...
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Experimental assessment and Adam gene algorithm to optimize the process parameter for micro profile cutting on CM247 alloy using pulsed laser machining process
A micro cutting has been performed on hard nickel alloy using a short-pulsed laser machining process. The input process parameters such as laser...
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Reinforcement Learning-Based Cutting Parameter Dynamic Decision Method Considering Tool Wear for a Turning Machining Process
Cutting parameter optimization is considered as an effective way for energy consumption saving. In the machining process, the tool wear of cutting...
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Simulation-based process parameter optimization for wire arc additive manufacturing
During manufacturing of components using wire arc additive manufacturing, specific cooling times are required to prevent overheating of the structure...
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Process parameter modeling for the fabrication of functionally graded materials via direct ink writing
The direct ink writing (DIW) technique utilizing a single-screw mixing exhibits the capability of fabricating functionally graded materials (FGMs)...
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MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method
The weld joint quality is greatly influenced by the welding parameters. The right welding parameters must be used in order to get a weld of high...
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Metaheuristic optimization and computational investigation of resistance spot welding process parameter employing Jaya, TLBO and Rao-II algorithm
Resistance spot welding (RSW) is a widely used metal joining process in the automotive industry. Significant challenges associated with RSW in...
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Firing Process Modeling of a Soft Recoil Gun Based on Interval Uncertainty Parameter Identification
PurposeThe soft recoil firing technology is an important way to reduce the recoil force of a gun. To further improve the effect of the recoil...
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An angle-driven parameter control model for corner paths in the DED-arc process of nickel aluminum bronze alloy
The directed energy deposition-arc (DED-arc) process is gaining popularity for cost-effective production of large parts, especially in the marine...
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Applying machine learning and GA for process parameter optimization in car steering wheel manufacturing
The wrap** layer’s foaming process of the car steering wheel industry usually relies on the manual parameter setting by experienced engineers, but...
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Process parameter optimization of K477 and GH4169 for defect control in laser-directed energy deposition using Taguchi design of experiments
Turbine blisk used for aerospace engines withstands harsh working environments and requires multiple materials suited for different function...
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Parameter optimizations of GMAW process for dissimilar steel welding
When the welding materials, joint configuration, welding variables, and level settings of the welding parameters are not suitable and appropriate,...
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Grey wolf optimizer for parameter identification of an activated sludge process model
This paper considers a new meta-heuristic method called Grey Wolf optimizer (GWO). It is inspired by the behavior of grey wolves (Canis lupus) in...
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Experiment assessment and Adam gene algorithm to optimize the process parameter of wire spark erosion material removal while machining nickel alloy
The nickel-based superalloy, CM247 is machined using wire electro spark material removal process with three different levels of process parameters....
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Laser-directed energy deposition of CuCrZr alloy: from statistical process parameter optimization to microstructural analysis
Laser-directed energy deposition (LDED) is a suitable manufacturing technology for processing CuCrZr alloy that has recently gained interest to be...
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Printing parameter optimization of PLA material concerning geometrical accuracy and tensile properties relative to FDM process productivity
High demand for part customization shifts industries toward AM technologies. Part customization in high-volume manufacturing is developed to its...
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Titanium carbonitride–coated CBN insert featured turning process parameter optimization during AA359 alloy machining
Turning is a widespread machining operation utilized in various engineering industries focusing on high productivity satisfied with better machining...
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Process parameter optimization of pulsed laser deposition of hydroxyapatite coated polymer implant for better surface roughness and cell viability
In this work, the roughness of the implant was predicted by statistical and experimental methods. A customised bone implant was fabricated using the...
