The demand for reduced-size components and devices is pervasive throughout industrial and commerical sectors. This drive to reduce the achievable size of parts and features has furthered the developmen of processes and tools capable of micro scale fabrication. In particular, one of the directions this field has taken is in scaling down traditional machine tools. Being a relatively young area of manufacturing, the area of miniaturized machining is still developing and a significant portion of work remains yet to be done. As a thorough understanding of this area is still developing, experimental tests play a significant role furthering this process. Therefore the direction of this project has been to explore this field using a predominantly experimental approach. The aim of it being to realize a miniaturized machine tool capable of fabricating features and even parts on the micro scale. Additionally the machine should be controlled as a standard milling machine and also be capable of generating free form three dimensional parts. In parallel to developing a machine tool, the project has also been directed at examining the machine's capabilities through a range of tests. For creating such a machine tool, the process was carried out in a two stages. Each stage involved a miniaturized machine tool at a different level. The first machine tool produced primarily served as a proof of concept structure. By performing a range of tests on this machine, it allowed for useful insights be to gained for developing the subsequent stage along with establishing some base performance characteristics which were also used for subsequent comparisons. The primary contributions made in this research include: the development of a miniaturized machine, the completion of experiments that map out the machine's capabilities, and theoretical calculations which further define these limits.

The purpose of this research is to present a systematic methodology for the creative design and evaluation of machining centers. First, the graph representation is to present machining centers by using the method of topological structure. A methodology of structure synthesise is developed for the 3, 4, and 5-axis machining centers by requirements and characteristics of machining centers. A cod of machining centers is presented and configuration enumerations of the 3, 4, and 5-axis machining centers are established, and then the configuration is drew. Second, characteristics of machining centers are established to evaluate the machining centers. Finally, appropriate configuration of machining centers is selected by the cutting characteristics to compare the patents and the industrial machining centers.

Thesis (M.S.)--Worcester Polytechnic Institute. / UMI no. 30-31030. Keywords: chip breaking; prediction; turning; grooved inserts. Includes bibliographical references (p. 113-121).

Laser machining is a commonly used method for materials processing. Focusing laser energy onto a sample can lead to material modifications and achieve feature sizes on the order of micrometres. However, designing a machining platform capable of producing high quality, repeatable, and accurate results is a key challenge because the final outcome can be variable, even when using fixed laser parameters. Therefore, in order to understand and monitor the process, real-time in situ metrology is required. In this work, a coherent imaging technique analogous to spectral domain optical coherence tomography (SD-OCT) was applied inline with a machining laser in order to monitor the cut development of various materials for industrial and biomedical applications. Such inline coherent imaging (ICI) provides axial resolution on the order of ones to tens of micrometers as well as temporal resolution on the order of microseconds. In stainless steel, the machining front was observed to have very different responses to pulsed lasers operating in different ablation regimes. Applying shorter pulse duration with higher peak intensity led to more deterministic material removal with little relaxation between pulses, while longer pulses revealed periodic melting and refilling behaviour. In addition, improvement of depth sensitivity to nanometre scales was explored by accessing phase information for Doppler processing techniques. For poorly absorbing materials, ICI provides the ability to observe structures below the surface. This is a very important characteristic for biomedical applications, such as guiding ablation in biological tissue. By monitoring the ablation of bone tissue in real-time using ICI, the operator was able to terminate exposure from the machining laser 50 μm before perforation into a natural inclusion in the tissue. ICI was able to anticipate the inclusion 176 ± 8 μm below the ablation front with signal intensity 9 ± 2 dB above the noise floor. With added real-time depth control, many applications will benefit whether it is achieving higher precision cuts in industrial materials, or limiting the possibility of damaging organs at risk below the cutting surface in surgical intervention. / Thesis (Master, Physics, Engineering Physics and Astronomy) -- Queen's University, 2010-10-29 16:01:38.048

No description available.

No description available.

The machine tool industry is highly dependent on the tooling which is needed to machine the components used to make the range of products seen in today's society. The range of tooling available to machinists is prolific and subject to continual growth. Those engineers faced with the task of process planning require advanced systems to support the decisions that need to be made for the production process to operate smoothly. The tooling data made available by these systems is a key factor in defining the efficiency with which the production processes can be carried out. This research examines the technical decision support systems made available to industrialists and highlights the scope to provide tooling engineers with up-to-date tooling performance and use data that can be used both in the planning stages as well as dealing with problems encountered during production. Specifically, this research identifies the role performed by widespread tool trials, associated with new tools or new materials, and goes on to show how the information obtained from tool trials can be collated in a structured manner and used to enhance the provision of data with which to carry out the process planning task. The goal of this research was to develop and implement a framework capable of collecting and disseminating data related to tool trials in a coherent and supportive fashion using distributed methods. This target resulted in the deployment of a system named JadeT, which is capable of receiving and analysing data from tool trials and subsequently enhancing the process planning task by basing cutting parameter selection on a combination of fundamental cutting parameter algorithms in parallel with using the approved data generated from tool trials. The JadeT system was tested via the creation of a database using actual tool trial reports, and the manner in which this data was used to provide cutting parameters was analysed. The JadeT system has been developed, deployed and evaluated. The opportunity to use data contained within tool trial reports to support process planning tasks has been identified and exploited. The testing of JadeT indicates that the system fulfils the initial goals and was able to provide suggestions for further research in this area.

Thesis (M App Sc) -- University of South Australia, 1992

Thesis (Ph.D.)--Tufts University, 2004. / Advisers: Haris Doumanidis; Anil Saigal; Nikos Fourligkas. Submitted to the Dept. of Mechanical Engineering. Includes bibliographical references (leaves 72-73). Access restricted to members of the Tufts University community. Also available via the World Wide Web;

Thesis (Ph. D.)--Lehigh University, 1998. / Includes vita. Includes bibliographical references (leaves 181-185).