Performance Analysis of Parallel Mechanism Architectures for CNC Machining Applications

1999 ◽  
Vol 122 (4) ◽  
pp. 753-759 ◽  
Author(s):  
Jinwook Kim ◽  
Changbeom Park ◽  
Jongwon Kim ◽  
F. C. Park
Keyword(s):  
Performance Measures ◽  
Machine Tools ◽  
Parallel Mechanism ◽  
High Performance ◽  
General Purpose ◽  
Cnc Machining ◽  
Machining Process ◽  
Software Environment ◽  
Analytical Methodology ◽  
Position And Orientation

In this paper we propose a set of criteria to evaluate the performance of various parallel mechanism architectures for CNC machining applications. In the robotics literature mathematical formulations of qualities like manipulability, stiffness, and workspace volume have been proposed to evaluate the performance of general-purpose robots. Here we propose a set of performance measures that specifically address features of the machining process. We define precise notions of machine tool workspace, joint and link stiffness, and position and orientation manipulability. The performance of various existing 6 d.o.f. architectures are evaluated with these measures. The analytical methodology presented here, in combination with a graphics-based CAD software environment, can serve as a useful tool in the design of high-performance parallel mechanism machine tools. [S1087-1357(00)01804-9]

Optimizing of Integral Impeller NC Program Based on the Material Removal Rate

2014 ◽  
Vol 1030-1032 ◽  
pp. 1305-1308
Author(s):  
Shi Chao Li ◽  
Song Lin Wu ◽  
Yan Kun Liang
Keyword(s):  
Material Removal Rate ◽  
Machine Tools ◽  
Material Removal ◽  
Removal Rate ◽  
Cnc Machining ◽  
Machining Process ◽  
Machining Accuracy ◽  
Nc Machine ◽  
Nc Machine Tools ◽  
Five Axis

It is a general processing technology that multi-axis NC machine tools is used for machining impeller at present. In order to improve the machining accuracy of the five-axis NC machine tools, the paper analyzes the computing interpolation error of the Multi-axis CNC system in detail. Some of the measures of tools selection have been proposed in purpose of diminishing the accumulative error of the system. The paper also establishes the optimized objective function to optimize the process parameters of the CNC machining based on the material removal rate. All these measures will improve the machining efficiency significantly and increase the stationary of the machining process.

Disziplinübergreifende Werkzeugmaschinenentwicklung*/Interdisciplinary development of machine tools - Increasing the cutting performance through alternative materials and active stabilization of the milling process

2016 ◽  
Vol 106 (01-02) ◽  
pp. 53-59
Author(s):  
E. Abele ◽  
M. Berger ◽  
S. Schmidt
Keyword(s):  
Machine Tools ◽  
High Performance ◽  
Production Efficiency ◽  
High Performance Concrete ◽  
Milling Process ◽  
Machining Process ◽  
Ultra High Performance Concrete ◽  
Loop Control ◽  
Alternative Materials ◽  
Active Stabilization

Die Anforderungen an Werkzeugmaschinen steigen branchenübergreifend stetig an. Häufig ist eine höhere Ausbringungsmenge bei wachsendem Qualitätsanspruch gefordert. Durch den Einsatz innovativer Werkstoffe – speziell Hochleistungsbeton oder Faserverbundwerkstoffe für Maschinenstrukturkomponenten – sowie die sensorische Überwachung und aktive Regelung des Bearbeitungsprozesses ist eine signifikante Steigerung der Produktivität möglich.   The requirements for machine tools are rising steadily across sectors. Often, the demand is for an increase in output along with a higher standard of quality. The use of mineral materials such as Ultra-High-Performance Concrete (UHPC) for machine tool components and structure elements, as well as sensor-based monitoring and active closed-loop-control of the machining process allow for a significant increase in production efficiency.

Study on Post-Processing of Five-Axis Cnc Machining

2011 ◽  
Vol 141 ◽  
pp. 524-528
Author(s):  
Jing Zhang Zhi ◽  
Cheng Zu Ren ◽  
Jing Chuan Dong
Keyword(s):  
Coordinate System ◽  
Machine Tools ◽  
Cnc Machining ◽  
Cnc Machine Tools ◽  
Post Processing ◽  
Cnc Machine ◽  
Post Process ◽  
Non Linear ◽  
Position And Orientation ◽  
Five Axis

According to the feature of five-axis CNC machine tools’structure, do researches on post-process technique. By means of analysis of the kinetic model of five-axis CNC machine tools, Position and orientation of the tool in the workpiece coordinate system transforms to that of the machine coordinate system. Besides, Because of the rotation，Five-axises maching will produce the non-linear error．This article provides an easy algorithm to find the maximum non-linear error. Finally, an impeller, for example, simulates in the computer and machine by a 5-axis machine tool.

Modeling of Self-Induced Vibrations that Occur During the Machining Process of Casting Patterns with the Use of The Fuzzy-Neural Networks Method

2013 ◽  
Vol 58 (3) ◽  
pp. 871-875
Author(s):  
A. Herberg
Keyword(s):  
Neural Networks ◽  
Control System ◽  
Network Structure ◽  
Fuzzy Systems ◽  
Fuzzy Neural Networks ◽  
Cnc Machining ◽  
Machining Process ◽  
Modeling Process ◽  
Fuzzy Neural ◽  
Takagi Sugeno

Abstract This article outlines a methodology of modeling self-induced vibrations that occur in the course of machining of metal objects, i.e. when shaping casting patterns on CNC machining centers. The modeling process presented here is based on an algorithm that makes use of local model fuzzy-neural networks. The algorithm falls back on the advantages of fuzzy systems with Takagi-Sugeno-Kanga (TSK) consequences and neural networks with auxiliary modules that help optimize and shorten the time needed to identify the best possible network structure. The modeling of self-induced vibrations allows analyzing how the vibrations come into being. This in turn makes it possible to develop effective ways of eliminating these vibrations and, ultimately, designing a practical control system that would dispose of the vibrations altogether.

Design Tradeoffs of High Performance DSPs for General-Purpose HPC

2014 ◽  
Vol 36 (4) ◽  
pp. 790-798
Author(s):  
Kai ZHANG ◽  
Shu-Ming CHEN ◽  
Yao-Hua WANG ◽  
Xi NING
Keyword(s):  
High Performance ◽  
General Purpose ◽  
Design Tradeoffs

Calcium/Copper alginate framework doped with CuO nano-particles as a novel adsorbent for micro-extraction of benzodiazepines from human serum

2020 ◽  
Vol 16 ◽  
Author(s):  
Nadereh Rahbar ◽  
Fatemeh Ahmadi ◽  
Zahra Ramezani ◽  
Masoumeh Nourani
Keyword(s):  
Human Serum ◽  
High Performance ◽  
Limit Of Detection ◽  
Solid Phase ◽  
Nano Particles ◽  
Limit Of Quantification ◽  
Analytical Methodology ◽  
Fiber Fabrication ◽  
Relative Standard ◽  
Green Procedure

Background: Sample preparation is one of the most challenging phases in pharmaceutical analysis, especially in biological matrices, affecting the whole analytical methodology. Objective: In this study, a new Ca(II)/Cu(II)/alginate/CuO nanoparticles hydrogel fiber (CCACHF) was synthesized through a simple, green procedure and applied for fiber micro solid phase extraction (FMSPE) of diazepam (DIZ) and oxazepam (OXZ) as model drugs prior to high-performance liquid chromatography-UV detection (HPLC-UV). Methods: Composition and morphology of the prepared fiber were characterized and the effect of main parameters on the fiber fabrication and extraction efficiency have been studied and optimized. Results: In optimal conditions, calibration curves were linear ranging between 0.1–500 µg L−1 with regression coefficients of 0.9938 and 0.9968. Limit of detection (LOD) (S/N=3) and limit of quantification (LOQ) (S/N=10) of the technique for DIZ and OXZ were 0.03 to 0.1 µg L−1. Within-day and between-day relative standard deviations (RSDs) for DIZ and OXZ were 6.0–12.5% and 3.3–9.4%, respectively. Conclusion: The fabricated adsorbent has been substantially employed to extraction of selected benzo-diazepines (BZDs) from human serum real specimens and the obtained recoveries were also satisfactory (82.1-109.7%).

Using computer clusters for processing spatial-temporal data streams in data acquisition systems

2018 ◽  
Vol 935 (5) ◽  
pp. 54-63
Author(s):  
A.A. Maiorov ◽  
A.V. Materuhin ◽  
I.N. Kondaurov
Keyword(s):  
Data Acquisition ◽  
Data Streams ◽  
Spatial Data ◽  
High Performance ◽  
Temporal Data ◽  
Cyberphysical Systems ◽  
Software Environment ◽  
Computer Clusters ◽  
Data Acquisition Systems ◽  
Essential Components

Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

scholarly journals DSPSR: Digital Signal Processing Software for Pulsar Astronomy

2011 ◽  
Vol 28 (1) ◽  
pp. 1-14 ◽  
Author(s):  
W. van Straten ◽  
M. Bailes
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Digital Signal ◽  
General Purpose ◽  
Design Decisions ◽  
Extensive Range ◽  
Processing Software ◽  
Graphics Processing

Abstractdspsr is a high-performance, open-source, object-oriented, digital signal processing software library and application suite for use in radio pulsar astronomy. Written primarily in C++, the library implements an extensive range of modular algorithms that can optionally exploit both multiple-core processors and general-purpose graphics processing units. After over a decade of research and development, dspsr is now stable and in widespread use in the community. This paper presents a detailed description of its functionality, justification of major design decisions, analysis of phase-coherent dispersion removal algorithms, and demonstration of performance on some contemporary microprocessor architectures.

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