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Geospatial modeling for groundwater potential zoning using a multi-parameter analytical hierarchy process supported by geophysical data
Groundwater plays a crucial role in Hungary sustaining ecosystems and meeting the growing demand for freshwater to fulfill domestic and agricultural...
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Numerical investigation of tool parameter influence on the interlock forming during flat clinching process
Tool parameters play a vital role in the mechanical interlock formation during the flat clinching process. To understand the influence of tool...
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Parameter synthesis for Markov models: covering the parameter space
Markov chain analysis is a key technique in formal verification. A practical obstacle is that all probabilities in Markov models need to be known....
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Surface quality prediction by machine learning methods and process parameter optimization in ultra-precision machining of AISI D2 using CBN tool
High-quality machining is a crucial aspect of contemporary manufacturing technology due to the vast demand for precision machining for parts made...
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Parameter optimization in the enhancement of MRR of titanium alloy using newer mixing method in PMEDM process
The addition of powders in electrical discharge machining (EDM) reduces the breakdown strength of the liquid dielectric, thereby enhancing the...
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Parameter Estimation Using a Gaussian Process Regression-Based Reduced-Order Model and Sparse Sensing: Application to a Methane/Air Lifted Jet Flame
The goal of this work is to perform parameter estimation by comparing a Reduced Order Model (ROM), built using Proper Orthogonal Decomposition (POD)...
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Reliability evaluation method for squeeze casting process parameter data
To evaluate the reliability of squeeze casting (SC) process parameter data originating from different sources such that guarantee the performance of...
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Parameter identification of multibody vehicle models using neural networks
In this study, a methodology for the identification of parameters of multibody vehicle models using neural networks is proposed. A neural network is...
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Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation
Deep learning in computer vision is becoming increasingly popular and useful for tracking object movement in many application areas, due to data...
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Adaptive Parameter Estimation
The problem of the parameter estimation indicates to obtain the values of parameters from the measurable input and output when the system contains...
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Programmable Dynamic Modeling and Parameter Identification for Serial Manipulators
Manipulators have a wide range of applications in industry, and their dynamic parameter identification can improve model accuracy and contribute to...
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A Hybrid TOPSIS-PR-GWO Approach for Multi-objective Process Parameter Optimization
Optimization is a necessary task in process engineering to ensure maximization of the overall efficiency of production systems. Metaheuristic...
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Friction welding parameter for AA6063 using ANFIS prediction
It is generally accepted in the field of friction welding that the parameters of rotary friction welding affect mechanical properties. Accurate input...
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Multi-objective process parameter optimization considering minimum thermal accumulation on spindles of dry hobbing machine
The thermal accumulation problem of the dry hobbing machine spindles is quite serious and is an essential reason for gear machining accuracy. Hence,...
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Study on Variable Parameter Helical Milling of TC4 Titanium Alloy Tube
Titanium alloy was widely used in various tubing systems due to the excellent performance, and tubes were usually used as a connection channel for...
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A Critical Study of Input Process Parameter on Weld Geometry and Characterizations of Cobalt-Based Super Alloy L605 Sheets
The Cobalt-based L605 super alloy have been considered for the laser welding purpose due its wide application in defence technology, aerospace, gas...
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Process parameter effects on microstructure and mechanical properties of tubes processed via friction assisted tube straining method
This paper investigates process parameter effects on microstructure and mechanical properties of the tubes processed via recently developed friction...
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Research on tuning method of PID controller parameter for hybrid magnetic bearing
The PID controller parameters directly affect the dynamic characteristics of the hybrid magnetic bearing (HMB) system. However, currently, control...
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Parametric optimization for enhancing process sustainability: evidence from fused deposition modeling process
This study examines the process optimization potential for enhancing the sustainability of a manufacturing process, taking the fused deposition...
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Process parameter optimization for thin-walled tube push-bending using response surface methodology
In this paper, the response surface methodology (RSM) and finite element (FE) simulation were applied to optimize the push-bending process parameters...
