Selection of Machine Tool Concept for Machining of Extruded Aluminium Profiles

1996 ◽  
pp. 421-428
Author(s):  
E. Røsby ◽  
K. Tønnessen
Keyword(s):  
Machine Tool ◽  
Selection Of

ON THE AUTOMATIC SELECTION OF REANALYSIS TECHNIQUES IN MACHINE TOOL STRUCTURAL ELEMENT OPTIMIZATION

1986 ◽  
Vol 10 (3) ◽  
pp. 163-181
Author(s):  
S. J. LEE ◽  
S. G. KAPOOR
Keyword(s):  
Machine Tool ◽  
Structural Element ◽  
Automatic Selection ◽  
Selection Of

New Development in High Efficiency Deep Grinding

2012 ◽  
Author(s):  
Andre D. L. Batako ◽  
Valery V. Kuzin ◽  
Brian Rowe
Keyword(s):  
Machine Tool ◽  
High Efficiency ◽  
Machining Process ◽  
Depth Of Cut ◽  
Removal Rates ◽  
Workpiece Surface ◽  
New Development ◽  
Cutting Processes ◽  
Selection Of ◽  
Made In

High Efficiency Deep Grinding (HEDG) has been known to secure high removal rates in grinding processes at high wheel speed, relatively large depth of cut and moderately high work speed. High removal rates in HEDG are associated with very efficient grinding and secure very low specific energy comparable to conventional cutting processes. Though there exist HEDG-enabled machine tools, the wide spread of HEDG has been very limited due to the requirement for the machine tool and process design to ensure workpiece surface integrity. HEDG is an aggressive machining process that requires an adequate selection of grinding parameters in order to be successful within a given machine tool and workpiece configuration. This paper presents progress made in the development of a specialised HEDG machine. Results of HEDG processes obtained from the designed machine tool are presented to illustrate achievable high specific removal rates. Specific grinding energies are shown alongside with measured contact arc temperatures. An enhanced single-pole thermocouple technique was used to measure the actual contact temperatures in deep cutting. The performance of conventional wheels is depicted together with the performance of a CBN wheel obtained from actual industrial tests.

TRIZ Application in Bionic Modeling for Lightweight Design of Machine Tool Column

2018 ◽  
Author(s):  
Shenggang Guo ◽  
Zhiling Yuan ◽  
Fenghe Wu ◽  
Yongxin Li ◽  
Shaoshuai Wang ◽  
...  
Keyword(s):  
Machine Tool ◽  
Lightweight Design ◽  
Biological Database ◽  
Biological Phenomenon ◽  
Bionic Design ◽  
Evaluation Theory ◽  
Column Structure ◽  
Object Based ◽  
Heavy Machine ◽  
Selection Of

The selection of biomimetic prototypes mostly depends on the subjective observation of a designer. This research uses TRIZ to explore some inferential steps in bionic design of the heavy machine tool column. Conflict resolution theory of TRIZ is applied to describe improved and deteriorated parameters and a contradiction matrix is used to obtain recommended inventive principles. A reference table of solutions corresponding to the biological phenomenon and TRIZ solutions is formed to expedite retrieving the biomimetic object. Based on the table, herbaceous hollow stem is selected to imitate column structure. Four kinds of plant are chosen from the biological database. To select the best from four candidates, a bionic ideality evaluation index is proposed based on similarity analysis and ideality evaluation theory in TRIZ. Thus, the bionic effect can be described and compared quantitatively. Bionic configuration is then evolved concerning manufacturing requirements. Size optimization of stiffener thicknesses is implemented finally, and satisfactory results of the lightweight effect is obtained.

Research on the machine tool selection of RMS

2012 ◽  
Author(s):  
Fengxu Zhou ◽  
Aiping Li ◽  
Liyun Xu ◽  
Nan Xie
Keyword(s):  
Machine Tool ◽  
Tool Selection ◽  
Machine Tool Selection ◽  
Selection Of

Selection of optimal machining parameters for hexapod machine tool

2009 ◽  
Vol 46 (5-8) ◽  
pp. 801-810 ◽  
Author(s):  
S. Muruganandam ◽  
S. Pugazhenthi
Keyword(s):  
Machine Tool ◽  
Machining Parameters ◽  
Selection Of

scholarly journals Selection of numerical compensation model of geometric errors of machine tools

Mechanik ◽  
2018 ◽  
Vol 91 (11) ◽  
pp. 980-983
Author(s):  
Paweł Majda ◽  
Joanna Jastrzębska
Keyword(s):  
Machine Tool ◽  
Experimental Test ◽  
Machine Tools ◽  
Geometric Errors ◽  
Test Program ◽  
Volumetric Error ◽  
Technical Report ◽  
Measuring Machine ◽  
Intensive Work ◽  
Selection Of

After many years of intensive work, experts from ISO TC 39 have published the technical report ISO TR 16907 “Machine tools – numerical compensation of geometric errors”. This document defines the terminology, presents advantages and limitations of numerical compensation of machine tool and measuring machine. This gives machine manufacturers and users important information on the application of numerical compensation. In the context of the compensation types defined in ISO TR 16907, presented principles of selecting volumetric error models for three-axis machine tools. The principles of reducing these models due to the functional tasks of machine tools were also presented. The final result is a table of reduced models for three-axis machine tools. It determines the degree of the model and the experimental test program, which should be done to determine volumetric error.

scholarly journals Study on Temperature Measurement Point Optimization and Thermal Error Modeling of NC Machine Tools

2017 ◽  
Vol 11 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Shuo Fan ◽  
Qianjian Guo
Keyword(s):  
Machine Tool ◽  
Temperature Measurement ◽  
Thermal Error ◽  
Error Model ◽  
Measurement Point ◽  
Nc Machine Tool ◽  
Temperature Measurement Point ◽  
Nc Machine ◽  
Thermal Error Model ◽  
Selection Of

Background: In precision machining, thermal error is the main source of machine tool error. And thermal error compensation is an effective method to reduce thermal error. Objective: In order to improve the prediction accuracy and computational efficiency of thermal error model, a new optimization method used for the selection of temperature measurement point is proposed. Method: This method is based on stepwise regression. According to the results of partial-F statistic, new variable is selected one by one, unapparent variables are deleted, and optimization selection of temperature measurement point is fulfilled, thermal error model of the NC machine tool is presented. Result: The new modeling method was used on NC machine tool, which reduced the temperature point number from 24 to 5. Moreover, model residual was less than 5µm after compensation. Conclusion: The result shows that the new thermal error model has higher prediction accuracy and less temperature variables.

Control of Machine Tools

1997 ◽  
Vol 119 (4B) ◽  
pp. 749-755 ◽  
Author(s):  
Yoram Koren
Keyword(s):  
Adaptive Control ◽  
Machine Tool ◽  
Real Time ◽  
System Performance ◽  
Machine Tools ◽  
Experimental Results ◽  
The Individual ◽  
Selection Of

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 (iii) adaptive control that adjusts the cutting variables in real time to maximize system performance. We cover a selection of the most advanced techniques utilized in each of these types, and draw conclusions based on experimental results.

Synthesis of Spiral Bevel Gear Transmissions With a Small Shaft Angle

2006 ◽  
Vol 129 (9) ◽  
pp. 949-959 ◽  
Author(s):  
Vladimir I. Medvedev ◽  
Andrey E. Volkov
Keyword(s):  
Computer Program ◽  
Machine Tool ◽  
Bevel Gear ◽  
Spiral Bevel Gear ◽  
Synthesis Parameters ◽  
Shaft Angle ◽  
Spiral Bevel ◽  
Selection Of

An algorithm for synthesis of spiral bevel gear transmissions with a small shaft angle is presented. The algorithm of synthesis provides machine-tool settings with account of design limits for majority of gear generating machines. The proposed algorithm makes it possible to decrease the dimensions of machines that are used for gear and pinion tooth generation. The computer program of synthesis is developed that is based on described algorithm. Recommendations on selection of proper synthesis parameters are presented. An example of synthesis and analysis of a transmission is considered.

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