PME 5432-0

Brief

This course aims at the fundamental technologies and applications for manufacturing system automation. In this course, we will introduce the concepts about manufacturing systems and automation, control systems, sensors, actuators, workpiece handling systems & Industrial visualization. The course content includes Manipulator operation, Multiaxis machining operation, Grafana implementation, SIEMENS Shopturn Interface operation, using Hexagon Metrology for taking measurements, writing codes by using Node-red. However, some automation topics (e.g., Python, matlab, CAD/CAM, CNC machining & Mastercam) will be dropped out from this course since they will be(have been) taught in other ones. In this course, we will carry out many practical operations and teach more in-depth mechanical intelligence content.

Description

Course keywords: manufacturing system, CAD/CAM, Industrial IOT technology, CNC machine, Machine tool sensing technology ● 課程說明(Course Description) This course aims at the fundamental technologies and applications for manufacturing system automation. In this course, we will introduce the concepts about manufacturing systems and automation, control systems, sensors, actuators, workpiece handling systems & Industrial visualization. The course content includes Manipulator operation, Multiaxis machining operation, Grafana implementation, SIEMENS Shopturn Interface operation, using Hexagon Metrology for taking measurements, writing codes by using Node-red. However, some automation topics (e.g., Python, matlab, CAD/CAM, CNC machining & Mastercam) will be dropped out from this course since they will be(have been) taught in other ones. In this course, we will carry out many practical operations and teach more in-depth mechanical intelligence content. ● 指定用書(Text Books) ● 參考書籍(References) ● 教學方式(Teaching Method) ● 教學進度(Syllabus) 1. Manipulator intelligence technology 2. Intellectual technology visualization 3. Turn-Mill machine compound implementation 4. Machine tool sensing technology and Data analysis 5. Precision Measurement Technology 6. Industrial IOT technology ● 成績考核(Evaluation) 期中報告-(15%) 期中考- (20%) 期末專題-(25%) 期末考- (20%) 課堂作業-(20%) ● 採用下列何項 AI 使用規則 (Indicate which of the following options you use to manage student use of the AI) (1)完全開放使用且無須註明 Unrestricted use with no disclosure required

Timetable

Scores

Average Percentage 84

Std. Deviation 4.75

Remarks

Restrictions

Compulsory

Elective

Cross Discipline

First Specialization

Second Specialization