Integrating Analytical Models with Finite-Element Models: An Application in Micromachining
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Summary
The initial sensitivity analysis can reveal critical information about the underlying system and guide us to more efficiently extract information from the finite-element models and the fitted integrated metamodel can more precisely approximate the machining forces.
- Type
- article
- Published
- 2013-04-01
- Cited by
- 7
- References
- 30
- OpenAlex
- https://openalex.org/W19659516
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115401938
Keywords
Finite element method, Sensitivity (control systems), Metamodeling, Orthogonality, Computer science
References
- Design and Modeling for Computer Experiments
- On Orthogonal Arrays
- Experimental and numerical modelling of the residual stresses induced in orthogonal cutting of AISI 316L steel
- Predicting the output from a complex computer code when fast approximations are available
- Orthogonal and nearly orthogonal designs for computer experiments
- Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments
- Numerical modelling of 3D hard turning using arbitrary Lagrangian Eulerian finite element method
- Slip-line fields for explaining the mechanics of polishing and related processes
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- A New Model and Analysis of Orthogonal Machining With an Edge-Radiused Tool
- CONSTRUCTION OF NESTED SPACE-FILLING DESIGNS
- A Slip-Line Field for Ploughing During Orthogonal Cutting
- Minimax and maximin distance designs
- Exploratory designs for computational experiments
- Multi-Layer Designs for Computer Experiments
- Bayesian hierarchical model for combining misaligned two-resolution metrology data
- Force Modeling in Laser-Assisted Microgrooving Including the Effect of Machine Deflection
- Development of flow stress of AISI H13 die steel in hard machining
- Surrogate Modeling of Computer Experiments With Different Mesh Densities
- ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS
Cited by
- Orthogonal Gaussian process models
- Developing an engineering-statistical model for estimating aerodynamic coefficients of helicopter fuselage
- Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling
- Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator
- Innovative Solving Process Problems of Micro-Turbine Machining Using Computer-Aided Innovation Method
- Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
- A Sequential Maximum Projection Design Framework for Computer Experiments with Inert Factors
- Statistica Sinica Preprint No : SS-2016-0165 R 1 Title A Sequential Maximum Projection Design Framework for Computer Experiments with Inert Factors
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