Neural network predictive control applied to automotive paint drying and curing processes-Reference-Cited by-同舟云学术

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Neural network predictive control applied to automotive paint drying and curing processes

Published:2023-10 Issue: Volume:183 Page:107773
ISSN:0300-9440
Container-title:Progress in Organic Coatings
language:en
Short-container-title:Progress in Organic Coatings

Author:

Cavalcante Esley Silva,Vasconcelos Luís Gonzaga Sales,Brito Karoline Dantas,Brito Romildo Pereira

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Materials Chemistry,Organic Chemistry,Surfaces, Coatings and Films,General Chemical Engineering

Reference15 articles.

1. Modeling paint and adhesive cure in automotive applications;Dickie;Prog. Org. Coat.,1997

2. Modeling and Simulation of a General Motors Conveyor System Using a Custom Decision Optimizer;Elahi,2009

3. Effects of automotive paint spray technology on the paint transfer efficiency – a review;Poozesh;Proc. Inst. Mech. Eng. D J. Automob. Eng.,2017

4. Review of coating and curing processes: evaluation in automotive industry;Pendar;Phys. Fluids,2022

5. Numerical investigation of automotive paint oven for improving the thermal efficiency;Pendar,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overcoming Barriers to Digital Transformation towards Greener Supply Chains in Automotive Paint Shop Operations;Sustainability;2024-02-27

2. Review of Energy-Related Machine Learning Applications in Drying Processes;Energies;2023-12-31

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