Modern Optimization Techniques for Advanced Machining Heuristic and Metaheuristic Techniques
tarafından
 
Okokpujie, Imhade P. author.

Başlık
Modern Optimization Techniques for Advanced Machining Heuristic and Metaheuristic Techniques

Yazar
Okokpujie, Imhade P. author.

ISBN
9783031354557

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
XIV, 359 p. 198 illus., 153 illus. in color. online resource.

Seri
Studies in Systems, Decision and Control, 485

İçerik
Overview of Advanced Machining Process -- Cutting Fluid and its Application with Different Delivering Machining Techniques -- Development and Application of Nano-Lubricant in Machining: A Review -- Global Machining Prediction and Optimization -- Multi-objective Grey Wolf Optimizer for improved machining performance -- Multi-objective Ant Lion Optimizer for improved machining performance -- Multi-objective Grasshopper Optimizer for improved machining performance -- A multi-objective optimization approach for improving machining performance using the General Algebraic Modelling System (GAMS) -- ANN and QRCCD Prediction of Surface Roughness under Biodegradable Nano-lubricant -- Cutting Force Optimization under ANN and QRCCD -- Material Removal Rate Optimization under ANN and QRCCD -- Application of Hybrid ANN and PSO for Prediction of Surface Roughness Under Biodegradable Nano-Lubricant -- Adaptive Neuro-Fuzzy Inference System for Prediction of Surface Roughness Under Biodegradable Nano-Lubricant.

Konu Terimleri
Materials.
 
Machinery.
 
Engineering mathematics.
 
Engineering -- Data processing.
 
Materials Engineering.
 
Machinery and Machine Elements.
 
Mathematical and Computational Engineering Applications.

Yazar Ek Girişi
Tartibu, Lagouge K.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-031-35455-7


KütüphaneMateryal TürüDemirbaş NumarasıYer Numarası[[missing key: search.ChildField.HOLDING]]Durumu/İade Tarihi
Çevrimiçi KütüphaneE-Kitap528137-1001ONLINEElektronik Kütüphane