19 documents found, page 1 of 2
Reducing mesh dependency in dataset generation for machine learning prediction ...
Mitreiro, Dário; Prates, Pedro A.; Andrade-Campos, AntónioGiven the extensive use of sheet metal-forming processes in the industry and the constant emergence of new materials, the accurate prediction of material constitutive models and their parameters is extremely important to enhance and optimise these processes. Machine learning techniques have proven to be highly promising for predicting these parameters using data obtained either experimentally or through numeric...
Limitations of XGBoost in predicting material parameters for complex constituti...
Prates, Pedro; Mitreiro, Dário; Andrade-Campos, AntónioMachine learning models, particularly Extreme Gradient Boosting, have been explored for predicting material parameters in constitutive models that describe the plastic behaviour of metal sheets. While effective for simple constitutive models like Hill’48, their performance declines with more complex models such as the Cazacu-Plunckett-Barlat yield criterion. This study examines the influence of training dataset...
Influence of data filtering and noise on the calibration of constitutive models...
Prates, Pedro; Pinto, José; Marques, João; Henriques, João; Pereira, André; Andrade-Campos, AntónioThis work focuses on predicting material parameters that describe the plastic behaviour of metallic sheets using the XGBoost machine learning algorithm, with a dual focus on the influence of data filtering and data noise. A dataset was populated with finite element simulation results of cruciform tensile tests, including strain field data during the test. Different noise levels were added to the strain-related ...
VForm-xSteels: virtual materials database
Andrade-Campos, António; Campos, Afonso; Henriques, João; Filho, Lucius; Túlio, Marcos; Conde, Mariana; Gonçalves, Mafalda; Prates, PedroNowadays, most of the product designs rely on the aid of simulation software, particularly Finite Element Analysis (FEA) programs. However, an accurate simulation requires a proper virtual/numerical material behavior reproduction, meaning a precise material characterization through constitutive models and their parameters. To numerically characterize a material, particularly a metal, (i) experimental tests, (ii...
Instrumentation and In-mould data acquisition system for injection moulding pro...
Bernardo, Rodrigo M. C.; Zhiltsova, Tatiana; Oliveira, Mónica S. A.; Neto, Victor; Caseiro, João; Laranjeira, Jorge; Andrade-Campos, AntónioDeveloping new tools for industry that lead to a sustainable development is essential. This paper briefly presents the challenges the injection moulding industry faces in manufacturing plastic products and the requirement for moulds to possess specific characteristics to withstand the high pressures and thermal loads imposed on them. Over-sizing moulds to meet these requirements results in elevated production, ...
Reforming doctoral education through immersive Ph.D. training weeks
Andrade-Campos, António; Saur-Amaral, Irina; Gabriel, Bárbara; Figueiredo, Cláudia; Valente, Robertt; Dias-de-Oliveira, J.A.Ph.D. training worldwide, including Doctoral education in Engineering fields, has been in trouble for some time. These last turbulent times (Pandemic, energy, inflation, and war crises) have only increased the problems previously reported by the 3rd cycle students and early career researchers, including chronic lack of support and poor-quality supervision, with senior researchers rarely trained in mentorship. I...
Instrumentation and In-mould Data Acquisition System for Injection Moulding Pro...
Bernardo, Rodrigo M. C.; Zhiltsova, Tatiana; Oliveira, Mónica S. A.; Neto, Victor; Caseiro, João; Laranjeira, Jorge; Andrade-Campos, AntónioDeveloping new tools for industry that lead to a sustainable development is essential. This paper briefly presents the challenges the injection moulding industry faces in manufacturing plastic products and the requirement for moulds to possess specific characteristics to withstand the high pressures and thermal loads imposed on them. Over-sizing moulds to meet these requirements results in elevated production, ...
Immersive training weeks in doctoral education
Saur-Amaral, Irina; Andrade-Campos, António; Gabriel, Bárbara; Figueiredo, Cláudia; Valente, Robertt; Dias-de-Oliveira, J. A.Ph.D. training worldwide, including Doctoral education in Marketing or Engineering fields, has been in trouble for some time. These last turbulent times (pandemic, energy, inflation, and war crises) have only increased the problems previously reported by the 3rd cycle students and early career researchers, including chronic lack of support and poor-quality supervision, with senior researchers rarely trained in ...
Optimization and inverse analysis in metal forming: scientific state-of-the-art...
Andrade-Campos, António; Coppieters, Sam; Strano, MatteoNowadays, the accuracy and fast result-delivery of numerical simulations allow to perform not simply feasibility and validation tasks but to actually accomplish optimized process designs and solutions for the metal forming industry. This paper present a wide overview of the role of optimization and inverse analysis in the scientific and industrial community of metal forming, including the contribution of the ES...
On the optimisation efficiency for the inverse identification of constitutive m...
Oliveira, Miguel Guimarães; Martins, João Miguel Peixoto; Coelho, Bernardete; Thuillier, Sandrine; Andrade-Campos, AntónioThe development of full-field measurement techniques paved the way for the design of new mechanical tests. However, because these mechanical tests provide heterogeneous strain fields, no closed-form solution exists between the measured deformation fields and the constitutive parameters. Therefore, inverse identification techniques should be used to calibrate constitutive models, such as the widely known finite ...