Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

During the past decade, polymer nanocomposites have emerged relatively as a new and rapidly developing class of composite materials and attracted considerable investment in research and development worldwide.Direct machining of polymers can be an option for personalized products and for manufacturing product samples. To obtain high quality products and reduce machining costs, it is very importa...

Increasing demand for nano-scale machining processes in the semiconductor industry necessitates new mechanisms for nano-machining. A system capable of nano-scale machining of conductive material via Electronic Pen Lithography (EPL) may fit this niche. The purpose of this research is to develop a system capable of EPL based on a HexFlex six axis nano-manipulator. The system will also be capable ...

Titanium has a wide variety of applications, particularly in the aerospace industry. However, because of its low thermal conductivity and high strength, machining of titanium is very difficult. The heat generated in machining can dramatically shorten the tool life. Rotary ultrasonic machining (RUM) is a non-traditional machining process, and has been used to machine various difficult-to-machine...

Due to the widespread use of highly automated machine tools in the industry, manufacturing requires reliable models and methods for the prediction of output performance of machining processes. The prediction of optimal machining conditions for good surface finish and dimensional accuracy plays a very important role in process planning. The present work deals with the study and development of a ...

In the rough-cut stage of sculptured surface machining, using rough-cut models with simple geometric complexity to generate tool paths could effectively reduce the machining time and improve the machining efficiency. In this paper, a 3D rough-cut model generation algorithm for sculptured surface machining is presented. The proposed algorithm is based on offset and multi-resolution mesh. Offsett...

Energy demand modeling of machining processes is the foundation of energy optimization. Energy demand of machining state transition is integral to the energy requirements of the machining process. However, research focus on energy modeling of state transition is scarce. To fill this gap, an energy demand modeling methodology of key state transitions of the turning process is proposed. The estab...

ix CHAPTER 1. GENERAL INTRODUCTION 1 1.1 Background 1 1.2 Motivation 4 1.3 Research Objectives 5 1.4 Dissertation Outline 6 CHAPTER 2. LITERATURE REVIEW 7 2.1 Rapid Prototyping Application in Pattern & Mold Manufacturing 7 2.2 Layer Thickness Algorithm 14 2.3 Tool Size and Machining Parameter Selection 17 2.4 Cutting Force Models 22 2.5 Thin Material Machining 23 2.6 Machining Error Prediction ...

To achieve the optimal control of material removal rate (MRR) for a machining project, a Dynamic Machining Project Control (DMPC) Model is proposed under the considerations of order quantity and deadline constraints. This paper not only introduces material removal rate into the objective function dynamically, but also implements Calculus of Variations to resolve the continuous control problem c...

Vibration-assisted machining offers a solution to expanding needs for improved machining, especially where accuracy and precision are of importance, such as in micromachining of single crystals of metals and alloys. Crystallographic anisotropy plays a crucial role in determining on overall response to machining. In this study, we intend to address the matter of ultra-precision machining of mate...