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Abstract Manufacturers are under tremendous pressure to improve product quality in terms of dimension while maintaining high productivity. To maintain product quality, it is necessary to know the accuracy level of machine tools so that defective parts can be prevented in manufacturing. Different machine tools deviate from their ideal situation to an error prone state over time. Even new machine tools may cause errors due to faulty installation, an extra heat source etc. Roll, pitch and yaw errors are common problems in machine tools for the manufacturing industries. The origins of these errors are kinematics parameter deviations resulting from manufacturing errors, assembly errors or quasistatic errors. By considering the geometric description of any machine tool, one should be able to predict the actual tool tip as compared to ideal tool tip for every controlled point in the machine's workspace. By counting the forward kinematics of the machine it is possible to predict the tool tip deviation for every point. A number of measuring methods can be adopted to describe the actual geometry of machine tools. Each method has it's own advantages and disadvantages. Often machine tool experts measure the machine with different types of measuring devices to obtain error traces based on its error sources and magnitude. In this thesis, a theoretical and practical relation has been established between static and dynamic measuring systems. These relations are important when we are measuring machine tools with different measuring devices to validate the measurement results. In this work, traces obtained by one measuring system have been compared and simulated with the traces obtained by other methods. A number of systematic mathematical models have been developed, and compared with the results obtained by other measuring methods. The outcome of this can lead to the development of a software system that can be used to validate measuring results obtained from different measuring systems and those can be compared with each other. The VM182 measurement result simulates closer than the laser measurement result when both are compared using the traces obtained by DBB measurement. Several methods for improving the positioning accuracy of machine tools have been studied. One of the methods is NC code modification. This method has been applied to develop an NC program processor based on the error found by the measurements. An aluminium test piece has been cut with the modified program to test the developed model. The finding of NC code modification is that for repeatable error, we can obtain a better dimensional accuracy for work pieces when we use a modified NC program based on the algorithms developed. The arch replacement technique has given a circularity improvement from 22 to 12 with DBB measurement, and circularity has been improved from 12.59 to 8.10 when it has been applied to cut aluminium work piece.

This diploma thesis serves as a design and implementation of a hobby CNC milling machine, for the modeling community. The work is conceived as an overview of the most common machining technologies. The following is an introduction to the construction of CNC milling machines and an introduction to the basic components used. Furthermore, the actual design proposals and a description of the implementation of two of them are presented. When designing the machine, emphasis was placed on the lowest possible price and availability of individual components.

This thesis deals with designing and realization of a CNC drill. The body of the thesis is divided into three parts: Firstly, a design of a mechanical construction, secondly, an electronic scheme with its realization using industrial components and lastly, a design of a data export from an application for DPS EAGLE designing to G-KOD formate. The whole process should make drilling of plates with DPS or eventually the whole plate manufacturing more efficient and the quality and accurancy of a whole work should increase.

Robotic automation of CNC machines is becoming more popular as robot technology advances and becomes more readily available. While some CNC machines can run autonomously with part catchers, vertical milling centers require an external entity to keep the machine running. Collaborative and Industrial robots are the two main selections for automating a vertical CNC milling machine. We investigate specifically which robot type is most effective for machine tending a Haas VF2 vertical milling center. To do this a cell floor plan, risk assessment, overall equipment effectiveness evaluation, and a total cost analysis are performed to compare robots. With this results of each analysis process, it appears the industrial robot is most effective for the machine tending case.

The main object of this theses is make research of issues relating to joints and CNC technology, find out information and apply this in design and manufacture of CNC tenon joint. The thesis contains definition of basic concepts, resource searching, background research, historical contexts introduction a basic information to exist theme. Teoretic part contains subjects relevant to joints in general, conventional joints, CNC joints, NC and CNC machine tools, CAD and CAM systems and NC programmes making. A part of the thesis is design of CNC tenon joint and its application on particular product. To design relates selection and application of proper materials, design documentation, 3D models and visualization exist product. The principal result of this theses should be manufactured prototype of designed product. In conclusion there are results review, incurred difficulties and its solutions.

Manufacturing operations generate revenue by adding value to material through machine work and the cost associated with part production hinders the maximum profit available. In order to remain competitive, companies invest in research to maximize profit and reduce waste of manufacturing operations. This results in cheaper products for the customer without sacrificing quality. The purpose of this research was to identify machine settings of an Okuma LC 40 Turning Center and optimize the cost of machining in terms of tool cost and energy consumption while maintaining part quality at a productive cycle time. Studying the relationship between energy consumption, tool life, and cycle time with the speed and feed settings through statistical Analysis of Variance (ANOVA) method will allow the production plant to make profitable financial decisions concerning simultaneous turning operation of forged chrome-alloy steel. The project was divided into three phases; the first phase began with a literature survey of sensors used in current manufacturing research and the adaptation of our sensors to the Okuma LC 40 turning center. Then, phase II used design of experiments to identify spindle speed and feedrate settings that optimize multiple responses related to the turning process. The result was a saving in energy consumption (kWh) by 11.8%, a saving in cutting time by 13.2% for a total cost reduction from $1.15 per tool pass to $1.075 per tool pass. Furthermore, this work provides the foundation for phase III to develop an intelligent monitoring system to provide real-time information about the state of the machine and tool. For a monitoring system to be implemented in production, it should utilize cost effective sensors and be nonintrusive to the cutting operation

This master thesis deals with the constructional design of small CNC milling machine with a sliding table. The first part of the work describes small CNC milling machines currently available on the market. Based on the result of the literature review, the small CNC milling machine was constructed with respect to the currently available trends, including sizing and drawing documentation of the machine.

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