Intelligent Manufacturing Application System
Model: DLIM-213
1. CNC milling machine power supply: single-phase three-wire, AC220±5%, 50Hz, 3KVA;
2. CNC lathe power supply: single-phase three-wire, AC220±5%, 50Hz, 1KVA;
3. Control system power supply: single-phase three-wire system, AC220V±10%, 50Hz.
4. Output power: DC regulated power supply: 24V/5A.
5. Equipment footprint: about 5.2×4.1×2.0m.
6. Certificate: CE, ISO
7. Warranty: 1 year
Details Introduction
Equipment Overview
DLIM-213 digital intelligent manufacturing application system is Vocational training equipment which conforms to the development trend of intelligent manufacturing digitization and global manufacturing industry, and is a typical embodiment of 'industry 4.0 teaching equipment'
The employment fields involved in this Vocational training equipment include not only CNC machining, robot operation, PLC programming, etc., but also involve the design and planning of robot body enterprises and integrators, and the design department of large-scale manufacturing enterprises.
The technical university training equipment adopts the "intelligent manufacturing" unit in the field of mechanical cutting and processing.
CNC machine tools, robot arm training equipment intelligent sensing and control equipment, intelligent detection, intelligent storage equipment, etc., demonstrate the functions of automation, digitization, networking, integration and intelligence.
The laboratory technical equipment includes the following knowledge and skills: intelligent control technology, numerical control technology, industrial robot technology, mechatronics technology, industrial engineering technology, software technology, automation technology, measurement technology and other fields.
DLIM-213 Engineer training System included feeding module, storage module, handling robotics, robot fixture, robot walking platform, micro CNC lathe, micro CNC milling machine, detection module, pneumatic system, electric control system, programming computer and related software.
Features
- Intuitive equipment: The main equipment adopts the installation form of direct exposure, and the industrial engineering lab equipment can be displayed in front of the students more intuitively, which shortens the transition and adaptation time of students from the classroom to the industrial site.
- Flexible structure: The engineering teaching system adopts a modular structure, which makes the use and combination of the system more flexible, and can meet various content requirements such as experiments, training and assessment.
- Strong system: This technology training platform integrates PLC, six-axis collaborative robot, CNC lathe, CNC machining center, tooling fixture, etc., and applies related mechanical structures at the same time, which can truly simulate various control methods on the industrial site.
The supply robot training equipment enables students to carry out systematic learning of automation control, enables students to have a systematic understanding of industrial control, and avoids the defect that a single electrical component is proficient, but multiple electrical components do not control each other.
- The industrial engineering lab equipment safety: equipped with corresponding leakage, overload and short circuit protection devices, which can effectively protect the safety of users.
Training Projects
- Cognition of intelligent manufacturing system
- Pneumatic transmission, sensor technology and application
- Installation and application of PLC programming software
- HMI touch configuration technology application
- Installation and commissioning, programming and application of robots and robot fixtures
- Assembly, maintenance and programming of CNC lathes and CNC machining centers
- Programming and application of loading and unloading of industrial robot machine tools
- Application of bus communication technology
- Application of industrial automation network
- Application of PLC communication and control technology, motor drive technology, motion control system
- Intelligent manufacturing system MES cognition and application, maintenance and maintenance, production management
Get In Touch
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