Optimization of Resin Printing Parameters for Improved Surface Roughness Using Metaheuristic Algorithms: A Multifaceted Approach

This publication has 55 references indexed in Scilit:

• Effect of Printing Parameters on the Surface Roughness and Dimensional Accuracy of Digital Light Processing Fabricated Parts
  Journal of Materials Engineering and Performance, 2023
• Optimization of FDM process parameters to minimize surface roughness with integrated artificial neural network model and symbiotic organism search
  Neural Computing and Applications, 2022
• Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review
  Archives of Computational Methods in Engineering, 2022
• A review on genetic algorithm: past, present, and future
  Multimedia Tools and Applications, 2020
• A review on machine learning in 3D printing: applications, potential, and challenges
  Artificial Intelligence Review, 2020
• 3D Printing and Digital Processing Techniques in Dentistry: A Review of Literature
  Advanced Engineering Materials, 2019
• Modeling and optimization of surface roughness in keyway milling using ANN, genetic algorithm, and particle swarm optimization
  The International Journal of Advanced Manufacturing Technology, 2017
• Polymerization shrinkage assessment of dental resin composites: a literature review
  Odontology, 2016
• Particle swarm optimization technique for determining optimal machining parameters of different work piece materials in turning operation
  The International Journal of Advanced Manufacturing Technology, 2010
• Optimal cutting condition determination for desired surface roughness in end milling
  The International Journal of Advanced Manufacturing Technology, 2008