Geometric Accuracy of Large Machine Tools
نویسندگان
چکیده
منابع مشابه
Comprehensive Evaluation of CNC Machine Tools Accuracy Based on AHP
In order to evaluate the accuracy of a numerical control machine tool comprehensively, the accuracy evaluation index system of a numerical control machine tool was established, and the priorities of accuracy indexes were determined by analytic hierarchy process method. Taking a five-axis numerical control machine tool for example, each accuracy index of it was studied by using fuzzy comprehensi...
متن کاملIkonos Geometric Accuracy Validation
Since its launch in September of 1999, the IKONOS satellite has been consistently providing high quality 1-meter panchromatic and 4-meter multispectral images. Accurate interior and exterior orientation enable IKONOS to achieve high geometric accuracy with or without ground control. Exterior orientation is determined by on-board GPS receivers, star trackers, gyros, and interlock angles. Post-pr...
متن کاملControl of Machine Tools
This paper reviews the progress in machine tool control during the last three decades. Three types of controls are discussed: (i) Servocontrol loops that control the individual axes of the machine, (ii) interpolators that coordinate the motion of several axes, and (Hi) adaptive control that adjusts the cutting variables in real time to maximize system performance. We cover a selection of the mo...
متن کاملEvaluation of the truebeam machine performance check (MPC) geometric checks for daily IGRT geometric accuracy quality assurance
Machine Performance Check (MPC) is an automated and integrated image-based tool for verification of beam and geometric performance of the TrueBeam linac. The aims of the study were to evaluate the performance of the MPC geometric tests relevant to OBI/CBCT IGRT geometric accuracy. This included evaluation of the MPC isocenter and couch tests. Evaluation was performed by comparing MPC to QA test...
متن کاملCorrecting geometric deviations of CNC Machine-Tools: An approach with Artificial Neural Networks
This paper presents an experimental methodology of Design for Manufacturing (DFM) used for survey and analysis of geometric deviations of CNC Machine-Tools, through their final product. These deviations generate direct costs that can be avoided through the use of Intelligent Manufacturing Systems (IMS), by the application of Artificial Neural Networks (ANNs) to predict the fabrication parameter...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Mechanica Slovaca
سال: 2020
ISSN: 1335-2393,1339-3073
DOI: 10.21496/ams.2020.036