Web Access Research Portal

Researcher: Kiatcharoenpol, T (Mr Tossapol Kiatcharoenpol)

Fields of Research

Manufacturing engineering
Artificial life and complex adaptive systems
Neural networks

Research Objectives

Industrial machinery and equipment
Other manufacturing
Machined metal products
Non-dairy milk
Coated metal and metal-coated products

Career Best Publications

Research Publications

A monitoring system of drill wear states using a hybrid neural network; Australian Journal of Intelligent Information Processing Systems
A Monitoring System of Drill Wear States using a Hybrid Neural Network; The 11th International Manufacturing Conference: Advances in Materials Maufacturing Science and Technology
An Artificial Neural Network-Based Detection of Wear States in Drilling Operations; Fourth International Conference on Intelligent Technologies 2003 (InTech'03)
Intelligent Automatic Tool Selection Using Support Vector Machines; Fourth International Conference on Intelligent Technologies 2003 (InTech'03)
Prediction of Internal Surface Roughness in Drilling using Three Feedforward Neural Networks - A Comparison; 9th International Conference on Neural Information Processing
Prediction of Thrust and Torque in Drilling Using Conventional and an Optimised Layer by Layer Neural Network; The 3rd Asia Pacific Conference on Systems Integrity and Maintenance (Systems Integrity and Maintenance - ACSIM 2002)
Prediction of Thrust and Torque in Drilling Using Conventional and Feedforward Neural Networks; Australian Journal of Intelligent Information Processing Systems
Radial force and hole oversize prediction in drilling using traditional and neural networks; International Conference on Manufacturing Automation: Rapid Response Solutions to Product Development
Support Vector Machines to Estimate Thrust and Torque in Drilling; HiPC 2002 Workshop on Soft Computing: Innovative Applications of Soft Computing
Tool Condition Monitoring in Drilling Using Artificial Neural Networks; 16th Australian Conference on AI, AI 2003: Advances in Artificial Intelligence

Research Projects

Research Candidate Supervision