Search
Search Results
-
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...
-
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...
-
Construction of Jointly Distributed Random Samples Drawn from the Beta Two-Parameter Process
Several extensions of the familiar Dirichlet process have been widely investigated to nonparametric Bayesian model fittings parallel with appealing...
-
Machine learning guided design of experiments to accelerate exploration of a material extrusion process parameter space
Parts produced using material extrusion (MEX), a common additive manufacturing method, are often limited to non-structural applications due to...
-
Process Parameter Optimization and Metallurgical Characterization in Double Pulse MIG Welding of SS 304 H
In this investigation, austenitic stainless steel 304 H (SS 304 H) plates were welded using double pulse metal inert gas (DP MIG) welding process....
-
Analytical Gaussian process cosmography: unveiling insights into matter-energy density parameter at present
In this study, we introduce a novel analytical Gaussian Process (GP) cosmography methodology, leveraging the differentiable properties of GPs to...
-
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...
-
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...
-
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...
-
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)...
-
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...
-
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...
-
Application of supervised machine learning methods in injection molding process for initial parameters setting: prediction of the cooling time parameter
The injection molding process is considered as one of the most used process in the plastics industry due to its reliability and its profitability;...
-
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...
-
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...
-
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold
Bioprinting, or bio-additive manufacturing, is a critical emerging field for transforming tissue engineering regenerative medicine to produce...
-
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...
-
Estimation of process performance index for the two-parameter exponential distribution with measurement error
Measurement errors are inevitable in practice, but they are not considered in the existing process performance index. Therefore, we propose an...
-
An improved parameter filtering approach for processing GRACE gravity field models using first-order Gauss–Markov process
Removing stripe noise from the GRACE (Gravity Recovery and Climate Experiment) monthly gravity field model is crucial for accurately interpreting...
-
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...
