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Wen-Yuh Jywe
Chair Professor / President
Smart Machine and Intelligent Machine Research Center
National Formosa University
Taiwan, ROC
Industry 4.0 at Smart Machine and Intelligent Machine Research
Center : Laser R-Test and Smart Machine Engine
1. Introduction: Smart Machine and Intelligent
Machine Research Center (SMIM) at National
Formosa University (NFU)
2. The Current Developments of SMIM Research
Center
3. Application of Laser R-test to the accuracy
measurements of five-axis machining centers
4. Functions of Smart Machine Engine Developed
for Intelligent Manufacture
5. Conclusions
CONTENTS
Introduction: Smart Machine and Intelligent Machine Research Center (SMIM) at National Formosa University (NFU)
National Formosa University (NFU)
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Established Year : A.D. 1980
President: Dr. Wen-Yu Jywe
Full-time Faculty Members: 325
Students: 10,189
Location: Huwei Township, Yunlin County, Taiwan
Web Site : www.nfu.edu.tw
Resume個人履歴
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Experience
1. President, National Formosa University (NFU).
2. Distinguished Professor (Department of Automation Engineering, NFU).
3. MOE- Committee Member of : Accreditation of Technical Education and Technical Universities.
4. MOEA- Committee Member of :a. A+ Industrial Innovation R&D Program for Industry;b. Precision Machine Industry Development.
5. MOST- Committee Member of :a. Intelligent Machine and Aerospace Industry Upgrade Program;b. Innovation and Application of Nanoscience Thematic Program.
Education
Ph. D. Mechanical Engineering, University of Manchester Institute of Science and Technology, UK, 1992.
Expertise 1. Metrology2. Integration of Automation Equipment 3. Precision Measuring and Feedback Control
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Location & Access
4 km
2 km
Main Campus
New Campus
THSR Taoyuan Station
Taoyuan Int’l Airport
THSR Taoyuan Station
THSR Yunlin Station
NFU
20 min (Train)
70 min (THSR)
12 min (Taxi)
Machine Tool Valley
Academic Programs 学術プログラム
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4 Colleges
19 Departments
18 Master’s Programs
2 Ph.D. Programs
Mechanical and Computer-Aided Engineering Automation EngineeringPower Mechanical Engineering (Ph.D.) Vehicle EngineeringMaterials Science and Engineering Aeronautical EngineeringMechanical Design Engineering
Electro-Optics Engineering (Ph.D.)Electrical EngineeringComputer Science and Information EngineeringElectronic Engineering
BiotechnologyLeisure and RecreationMultimedia Design Applied Foreign Languages
Industrial ManagementInformation ManagementFinanceBusiness Administration
Engineering
Elec. & Comp. Engineering
Ma
na
gem
ent
Ap
plied
Arts &
S
ciences
NFU
Smart Machine and Intelligent Machine Research Center (SMIM)
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Five-years industrial-academic collaboration
23 cases of Technology transfer (total USD 1.33 million) ;
49 cases of Industry-requested plans (total USD 4.73 billion;
127 patents obtained (US:11; EU:3; JP:2, CN:2; KR:1);
8 commercial products has developed, such as Laser R-Testand Smart Machine Engine.
SMIM Research Center at NFU was created in 2003.
Laser R-Test Smart Machine Engine
Smart Machine and Intelligent Machine Research Center (SMIM)
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Current Projects MOEA - Industry-Academia Flag-Ship Team Project: Industry-
academia cooperative research Project for intelligent manufacturing of machine tool based on value creating and application implementation (USD 7.79 million; 5 Universities, 11 Companies, and 2 Research Institutes)
MOST – Global Liaison Project: The alliance of advanced manufacturing for the aerospace processing supply chain (USD 1.94million; 19 Companies)
MOE - International Academy of Technological Talent Cultivation Project (USD 6.47 million; 1 Foreign university)
MOE - Higher Education Enhancement Project - Characteristic Center Project (USD 6.47 million; 1 Foreign university)
ISO 17025 Accredited Laboratory Second machine tool laboratory accredited by
Taiwan Accreditation Foundation (TAF).
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Research Staff (~2018.10)
Director: Wen-Yuh Jywe
Professors: Ying-Chien Tsai, Ruei-Chang Lin, Bean-Yin Lee, Jing-Chung Shen,Bor-Jeng Lin, Sheng-Yung Lin, Young-Huh Sheu, Jeng-Nan Lee,Yung-Cheng Wang, Wen-Chi Lu, Jeng-Dao Lee, Chen-Hua She,Ming-Tzong Lin, Ji-Han Jiang, Meng-Tse Lee, Chun-Jen Chen.
Postdoctoral Fellows: Tung-Hsien Hsieh, Hsueh-Liang Huang, Chir-Jang Tsai.
Research Engineers: Bing-Chi Jan, Tsu-Te Hong, Chia-Ming Hsu, Tung-Hsing Hsieh, Jia-Hong Chen, Yen-Chieh Wang, Yu-Wei Chang, Ching-Ying Chiu, Sen-Yi Huang, Yung-Chuan Huang, Chao-Yuan Lin, Yung-Yi Huang,Ming-Sung Hsieh, Cheng-Chung Tseng, Wen-Qian Lin, Kuan-Liang Kuo, Chin-Tsung Chen, Shih-Hsiang Lin, Tzu-Hung Chen, Kai-Wei Chang, Ling-Yu Tsai, Keng-Chiang Liao, Yuan-Han Chang, Hsin-Hung Hou, Shang-Kai Liao, Chien-Wei Chen, Chia-Yun Chuang, Po-Chieh Hong, Yung-Li Chen, Po-Yu Chen, Kao-Chuang Chen.
(Total 16 Profs.6 Depts.)
(Total 3 Postdocs)
(Total 32 Engineers)
Smart Machine and Intelligent Machine Research Center (SMIM)
Awards in the Recent 10 years• Outstanding Research Award, Ministry of Science and Technology,
2017.• Research award from Machine Tool Engineering Foundation,
Japan, 2016.• The Academia-industry contribution Award for machinery industry
from Taiwan Association of Machinery Industry, 2016.• Distinguished Academia-industry Collaboration Award from
Ministry of Science and Technology, 2014.• National Invention Gold Award from Ministry of Economic Affairs,
2012.• The prize of technology transfer Award from Ministry of Science
and Technology, 2012.• 2nd National Industrial Innovation Award from Ministry of
Economic Affairs, 2012.• The Academia prize of best researcher Award from Ministry of
Science and Technology, since 2010.• The Academia contribution Award for industry economy from
Ministry of Economic Affairs, 2009.
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Industry Collaboration
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The Current Developments of SMIM
Research Center
Smart Manufacture Development at SMIMIndustry 4.0 Flagship Project (USD 7.79 million)
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Partners Relationship
Machine Tool Industry Productivity 4.0
DOIT, MOEA
System Companies Key Component Companies
End Users
Cooperation
Industry Alliance
Business AssociationAcademia Society
UniversitiesResearch Institutes
SMIM Development Items Development of an Smart Machine Tool
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Robot
e.g. Management of Tool and Fixture
e.g. Identificationof Personnel
e.g. Inspection,load & unload
e.g. Rotary Axis Accuracy, Geometric Accuracy
e.g. Servo parameters, Power loading
Sensor
e.g. Vibration, Temperature
e.g. Manufacture Traceability Manufacture Scheduling
e.g. Machining Time,Availability
e.g. Tool selection, Machining Path
Auto-Machining
User Interface
Machine Status
Compensation
QR Code
RFID
Controller
Value-added Software
Communication
Laser R-Test
Smart Machine Engine
Controller
Ethernet
Smart Machine EngineInternal Sensing: Controller Parameters
MT ConnectOPC UA
Laser R-TestWireless Sensor
External Sensing: Temp., Vibration, Sound
Machine Learning:1. Accuracy Model2. Automatic
Compensation3. Work Prediction4. Diagnosis
Artificial Intelligence
DBPrediction Mode
SMIM Development Items Development of an Smart Machine Tool
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SMIM Development Items Functions of an IoT Environment Developed for Intelligent Manufacture
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Laser R-Test
Smart Machine Engine
Wi-Fi/BLE
Laser R-Test + CNC + Robot + RFID Reader + QR Code Reader
OPC UA
Data Communication of the Inspection and Compensation for a Machine Tool
Communicating and monitoring of the intelligent manufacturing line
Intelligent ManufactureManagement
SchedulingOperation
Robot Tool LifeSmart Machine
Engine
• Site I. Aerospace Parts Manufacture Development
Industry 4.0 Demonstration SitesCurrently, 12 machine tool manufactures (including FFG) arecooperating with NFU for conducting the MOEA Industry-AcademiaFlag-Ship Team Project.
about 30 seconds
1. The M2M and M2R connectionare conducted by Smart MachineEngine Technology;
2. Laser R-Test is utilized for themeasurement and compensationof machine tools.
This site comprises 3 machine tools and 1 Robot. The controllers utilizedare FANUC, HEIDENHAIN, and SIEMENS. In this site:
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• Site II. PC-based Controller (Taiwan) Development
Industry 4.0 Demonstration Sites
This site comprises 3 machine tools and 1 Robot for development of value-added software. The controllers utilized in this site are ITRI(工研院 ),SYNTEC(新代), and LNC(研華寶元).
• Site III. Tool Manufacture Development This site comprises 6machine tools and 1Robot for the researchof tool design, cuttingefficiency, tool-lifemanagement.
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Industry 4.0 Demonstration Sites• Site IV. Intelligent Manufacture for Metal Machining
This site comprises 3 machine tools and 1 Robot to develop of the turnkeysolution of aerospace parts machining for Evergreen Aviation Precision (長榮航宇) and Magnate Tech (晟田科技).
1. The M2M and M2R connection are conducted by Smart Machine Engine Technology;
3. This site was built inthe factory of Taiwanmanufacturer.
2. Laser R-Test is utilized for the measurement and compensation of themachine tools;
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Application of Laser R-test to the accuracy measurements of five-axis machining centers
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Laser R-test (LRT) can quick calibrate three-axis and five-axissynchronous motion performance of a five-axis machine tool. Itcan be applied to various types of machine calibration needs.This system is equipped with user-friendly software that canperform wireless operation in a non-contact manner. In addition,no specialized knowledge is required for the measurement andcompensation of LRT, so everyone can operate LRT easily.
Resolution: 0.05 µm System Accuracy: 0.5 µm Measurement Range: ±100 µm Sampling Frequency: 1~40 kHz
Specification
Overview
Overview
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The tolerance displacement between thereference glass sphere and sensor moduleof Laser R-Test is reaching up to ± 20mm which is 100 times than that of IBSR-test system with an expensive referencemetal sphere. Therefore, the danger ofaccidentally colliding with the sensormodule is quite low. Furthermore, theaccidentally damaged reference glasssphere could be easily replaced with thenew one by the user, the system halteddue to accidental collision can be quicklyrestored.
Functions Comparison
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Functions ISO LRT IBS LION XR-20W AxiSet
Static Eccentricity Calibration 10791-6 ✔ ✔ ✔
Dynamic Contouring Calibration 10791-6 ✔ ✔
Component Errors of Rotation
Axis for Work table10791-1 ✔ ✔
Backlash 230-2 ✔
Angular positioning 230-2 ✔ ✔
Thermal Drift and Spindle Runout 230-3 ✔ ✔
Off-line,Spindle Runout Measurement($NTD 2,000,000)
LION Spindle Error Analyzer
Off-line,Accuracy meas. for Rotation Indexing ($NTD 1,800,000)
RENISHAW XR20-W
Off-line,Eccentricity Meas. for Rotary axis($NTD 150,000)
RENISHAW AxiSet™ Check-Up
Off-line, 3DMulti-axis Static &Dynamic Meas. ($NTD 1,800,000)
IBS Rotary Inspector
LRT
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2008 1st Generation: Originally named as “NON-BAR”.
2010 1. 2nd Generation: Module simplification.2. Patent pending started .
2009 Start machine tools compensation services in Taiwan.
2012 1. 3nd Generation: Sensor upgraded.2. Japan, EU, and China Patent obtained.3. Journal paper “Non-bar, an optical
calibration system for five-axis CNC machine tools ” has published.
2014 1. 4th Generation: L-type glass ball-bar.2. Taiwan and USA Patent obtained.
Overview
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2015 1. Angular Positioning compensation and automatic compensation were developed.
2. Automatic compensation: SIEMENS, FANUC, and HEIDENHAIN controllers.
262016 1. Automatic compensation:
MITSUBISHI and ITRI.2. 5th Generation: Wireless version.3. Renamed as “Laser R-Test (LRT)” by
TUAT Prof. TSUTSUMI.
2017 1. New module developing: Spindle rotation –Axial thermal drift and wobble inspection
2. New User Interface developed.
Overview
2018 1. On-line measurement of BK1 and BK2 path.2. BK1 + BK2 path measurement.
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Application Performance of Laser R-TestA
ver
age
erro
r o
f fi
ve-
axis
sim
ulta
neo
us
mo
tio
n (
K4
pat
h)
afte
r co
mpe
nsa
tio
n (μ
m)
Cum
ulative am
ount o
f measu
remen
t data
(set)
B-type A、B、C type New Sensor L-type Stem WirelessCharacteristicsNew Interface andMeasurement Path
Overview
Application Fields
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Five-axis Machine Tool Measurement and CompensationRobot Measurement and CompensationSpindle Runout and Dynamic Accuracy
SpindleRobotFive-axis Machine Tool
Applicable Machine Type
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Annex A: Universal spindle head
Annex B: Tilting rotary table
Annex C: Mixed
LRT can be applied to turning-milling complex machine tools and 5-axis machine tools specified in the annex A, B, and C of ISO 10791-6.
Applicable Machine Type
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LRT can be applied to turning-milling complex machine tools and 5-axis machine tools specified in the annex A, B, and C of ISO 10791-6.
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Laser R-Test has applied to machinetools inspection for over 15000 timesto all the machine tool builders andusers in Taiwan (such as FFG, Litz,Quasar), Japan machine tool builders(such as MAZAK, OKUMA, DMGMORI, and MAKINO), FraunhoferIPT, and RENISHAW.
Service Situation
LITZVICTOR TAICHUNGYIDA RENISHAWFraunhofer IPT
MAZAK OKUMA
Functions of Smart Machine Engine Developed for Intelligent Manufacture
Overview
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The traditional factory requires a large manpower to monitor the machineall the time, which is hard to control the utilization rate and productionschedule, etc. It causes waste of manpower and utilization of machines.Thus, with installing this system, labor costs can be greatly reduced andproduction quality can be improved.
Overview
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Smart Machine Engine (SME) is mainly focusing on integrating existed industry-related technologies, sensors and smart compensation to build smart factories withrapid integration, high intelligence and human resource efficiency. Its technicalfoundation is the integration of the Internet of Things (IoT) and mobile devices, andthe use of the German industrial communication protocol OPC UA to connect themajor controller brands in series (including Robot, CNC and PLC).
Overview
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System StructureSME can be divided into three categories: Smart Machine Server (SMS),Smart Machine Client (SMC), and Smart machine Box (SMB). It is benefit forestablishing application services of management and control, and improvingthe efficiency and yield rate of production line.
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1. Sensing Devices: Sensing Signals can be conducted by machine external.2. International Standard: Supporting
OPC UA protocol and multiple third-party software.
3. Single machine application: Remote I/O control, machining program transmission, compensation feedback, MARCO reading and writing, and expandability of measuring instrument.
4. Utilization Rate Calculation: Machines’ status parameter and utilization rate of single machine.
5. Advanced Planning and Scheduling (APS): Supporting to schedule work orders by using genetic algorithm according to three.
Instantly Status
Querying
Dispatching orders
dynamically
Features
Overview
Introduction of SMS
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Smart Machine Server is mainly connecting controllers of CNC, Robot, or PLC,and other related sensors through OPC UA specification of internationalcommunication format to convert into a secure communication mechanism,which providing people to be online at the same time and can be networked onmultiple platforms. Through this mechanism, all the equipment in the factory canbe connected rapidly and can develop more related application services.
Note: The provided functions will be varied depending on the different machine tools and lathes.
Introduction of SMS
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Smart Machine Server is mainly connecting controllers of CNC, Robot, or PLC,and other related sensors through OPC UA specification of internationalcommunication format to convert into a secure communication mechanism,which providing people to be online at the same time and can be networked onmultiple platforms. Through this mechanism, all the equipment in the factory canbe connected rapidly and can develop more related application services.
Note: The provided functions will be varied depending on the different machine tools and lathes.
Introduction of SMS
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Smart Machine Server is mainly connecting controllers of CNC, Robot, or PLC,and other related sensors through OPC UA specification of internationalcommunication format to convert into a secure communication mechanism,which providing people to be online at the same time and can be networked onmultiple platforms. Through this mechanism, all the equipment in the factory canbe connected rapidly and can develop more related application services.
Note: The provided functions will be varied depending on the different machine tools and lathes.
Introduction of SMC
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Main Functions
Introduction of SMC
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Available Items of Monitoring
Introduction of SMC
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Factory Field Distribution Factory Monitoring
Machine Tool Controlling Robot Monitoring
Introduction of SMC
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Robot I/O Control PLC Monitoring
RS232 Monitoring Utilization Monitoring
Introduction of SMC
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ProductionScheduling
ToolManagement
Conclusions
The geometric error of five-axis machine tool canbe auto-compensated using the Laser R-Test.Because the distance between the referencesphere and sensor of LRT is reaching up to ±20mm, so the reference sphere collision problemcould be effectively prevented. Users can easilyand quickly replace the accidentally scratchedreference sphere with the new one; therefore, themeasurement process can be quickly restarted.
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Conclusions: Laser R-Test (LRT)
CatalogQR Code
Measurement items and functions
1. Backlash: linear and rotary axes2. Geometric errors of rotary axis3. High dynamic contouring error4. Thermal drift and spindle runout5. Quick check of angular positioning
Current Collaboration researches
Now NFU has collaborated with Prof. MASAOMITSUTSUMI (TUAT), and Prof. SOICHI IBARAKI(HU) for new functions development and the casestudy of Japanese machine tools; therefore, eachgroup has borrowed one set of LRT and alsofinished the formal training courses.
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Conclusions: Laser R-Test (LRT)
CatalogQR Code
ContactTaiwan
Chia-Ming Hsu許家銘 , Chief Engineer of Laser R-test,
National Formosa University
Tel:+886-5-6315934, Email: chia_ming1206@hotmail.comJapan
Dr. Masaomi TSUTSUMI, Professor Emeritus,
Tokyo University of Agriculture and Technology
Mobile:+81-90-5586-0683, Email: tsutsumi@cc.tuat.ac.jp
With OPC UA communication protocol, SMEcan provide production line information, andestablish application services of managementand control, and improving the efficiency andyield rate of production line
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Conclusions: Smart Machine Engine (SME)
CatalogQR Code
System features and functions1. Connects all equipments of a smart factory
(e.g., machine tool , robot, PLC equipment ).2. Supports various platform and third-party
software.3. Dynamic scheduling and tool management.4. Supports 90% controllers (in Taiwan).
ContactTung-Hsing Lucas Hsieh謝東興 , Chief Engineer of SME,
National Formosa University
Tel:+886-5-6315402 , Email: p8552015@hotmail.com
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Patents
1. 發明專利: “一種多軸工具機量測裝置” ,大陸發明專利ZL 2010 1 0259753.6,專利權始日20130904,發明人:覺文郁、劉建宏、徐東暉、許家銘。
2. 發明專利: “ ASSEMBLY FOR A MULTI-AXIS MACHINE TOOL多軸工具機量測裝置” ,日本發明專利5038481,專利權始日20120713,發明人:覺文郁、劉建宏、徐東暉、許家銘。
3. 發明專利: “ ASSEMBLY FOR A MULTI-AXIS MACHINE TOOL多軸工具機量測裝置” ,歐盟發明專利EP 2340914 B1,專利權始日20121226,發明人:覺文郁、劉建宏、徐東暉、許家銘。
4. 發明專利:“DETECTING ASSEMBLY FOR A MULTI-AXIS MACHINE TOOL多軸工具機量測裝置”,美國專利局專利核定發明第US 7,852,478 B1號,專利權始日20101214,發明人:覺文郁、劉建宏、徐東暉、許家銘。
5. 發明專利: “Method of Detecting a dynamic path of a five-axis machine tool and assembly for the same -五軸工具機動態路徑檢測方法及其裝置”,美國專利局專利核定發明US 8,116,902 B2,專利權始日20120214,發明人:劉建宏、覺文郁、李羿宗。
6. 發明專利: “多軸工具機量測裝置”,中華民國經濟部智慧財產局專利核定發明第I378843號,發明人:覺文郁、劉建宏、徐東暉、許家銘。
7. 發明專利名稱: “工具機旋轉軸定位精度檢測裝置與方法”,中華民國經濟部智慧財產局專利核定發明第I592252號,發明人:覺文郁、謝東賢、陳明亮、謝東興。
8. 發明專利: “機器人校正系統與方法”,中華民國經濟部智慧財產局專利核定發明第I579123號,發明人:覺文郁、謝東賢、李在原、陳俊仁、謝東興、吳家鴻。
9. 新型專利: “機器人校正系統”,中華民國經濟部智慧財產局專利核定新型第M530737號,發明人:覺文郁、謝東賢、李在原、陳俊仁、謝東興、吳家鴻。
10. 新型專利: “光學式轉軸多自由度誤差檢測裝置”,中華民國經濟部智慧財產局專利核定新型第M545243號,發明人:覺文郁、謝東賢、許仲良、許家銘、張祐維、黃森億、謝東興。
Reference
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Reference Journal Papers
Theses
1. W. Y. Jywe* and C. J. Chen, 2005, “The development of a high-speed spindle measurement system using a laser diode and a quadrants sensor”, International Journal of Machine Tools & Manufacture, Vol. 45, pp. 1162-1170.
2. W. Y. Jywe*, T. H. Hsu and C. H. Liu, 2012, “Non-Bar, an Optical Calibration System for Five-axis CNC Machine Tools”, International Journal of Machine Tools & Manufacture, Vol. 59, pp.16-23.
1. Chia-Ming Hsu, 2011, “Development of an Optical Measurement System for Five-axis CNC Machine Tools”, Master Thesis.
2. Mu-Cheng Ji, 2012, “Development and Application of Measurement Technologies for Five-axis CNC Machine Tools using NON-BAR Measurement System”, Master Thesis.
3. Yu-Wei Chang, 2013, “Detecting Dynamic Parameter Setting Technology and Application for Five-Axis CNC Machine Tools using NON-BAR Measurement System”, Master Thesis.
4. Shu-Yu Yang, 2014, “Development and Application of an Interface for the NON-BAR Measurement System”, Master Thesis.
5. Ching-Ying Chiu, 2015, “Development of a simple optical constant-angular positioning measurement system for rotary axis”, Master Thesis.
6. Ming-Liang Chen, 2016, “Development of an automatic error measurement and compensation system with machine-to-machine connection capabilities for multi-axis machine tools”, Master Thesis.
7. Zai-Yuan Li, 2016, “Image-type Intelligent Calibration and Compensation System to Five-axis Machine Tools”, Master Thesis.
Wen-Yuh JyweChair Professor / PresidentNational Formosa University
jywe@nfu.edu.tw
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Memo
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