公开(公告)号：US10146212B2

公开(公告)日：2018-12-04

申请号：US15392498

申请日：2016-12-28

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chia-Pei Wang ,  Chien-Chih Liao ,  Hsiao-Chen Ho ,  Jen-Ji Wang

IPC: G05B19/416 ,  B23Q5/04 ,  B23Q5/32

Abstract: A machine tool feed drive design system is provided, which may include a component database, a detection module, a load condition estimation module and a calculation module. The component database may store the specification data of a plurality of feed drive components. The detection module may detect a plurality of operation signals from a machine tool during a period of time when the machine tool had been executing a machining process to a workpiece. The load condition estimation module may calculate a plurality of actual load conditions according to the operation signals and a device specification parameter of a feed drive of the machine tool. The calculation module may select at least one component combination from the feed drive components according to the actual load conditions and the specification data of the feed drive components to serve as an optimized feed drive specification.

公开(公告)号：US10140416B2

公开(公告)日：2018-11-27

申请号：US14965040

申请日：2015-12-10

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chia-Pei Wang ,  Chien-Chih Liao ,  Pei-Yin Chen ,  Hsiao-Chen Ho ,  Tzuo-Liang Luo

IPC: G06F17/50 ,  G05B19/4069

Abstract: A process-orientated design method for machine tool structures comprises the steps of: (A) Defining design conditions including initial configurations, cutting requirements and boundary conditions for the machine tool; (B) Calculating cutting ability to generate information realizing a relationship between a maximum cutting depth and a spindle speed of the machine tool based on the initial configurations and the cutting requirements; (C) Performing an optimization to generate a frequency range for optimization based on the information relating the maximum cutting depth and the spindle speed; (D) Performing structural topology optimization to generate an optimized model based on the frequency range for optimization, the initial configurations and boundary conditions; and (E) Determining whether the optimized model fits the constraint condition; if positive, ends the design steps, and otherwise repeats steps (B)˜(D) until an optimized model fits the constraint condition appears.