The development and production of injection molding robots require the support of the following technologies:

1. Mechanical design technology

- Structural design: To ensure that the robot has sufficient strength, stiffness and stability to withstand various loads and actions during injection molding production.

- Kinematics and dynamics analysis: Optimize the trajectory and speed of the robot to improve work efficiency and accuracy.

- Material selection: Select high-strength, wear-resistant, corrosion-resistant materials to adapt to the harsh working environment.

For example, when designing the joint structure, it is necessary to take into account the torque and impact force it is subjected to, and select the appropriate transmission components such as ball screw and rack and pinion.

2. Control system technology

- Hardware design: including the selection and integration of controllers, drivers, sensors, etc.

Software programming: Develop control algorithms for precise motion control, path planning and collaborative work of robots.

- Communication technology: Ensure stable communication between the robot and the injection molding machine, peripheral equipment and the upper system.

For example, high-performance PLC controller and advanced motion control card are used to achieve high-speed data transmission between devices through CAN bus or Ethernet.

3. Sensor technology

- Position sensors: such as encoders, grating scales, etc., used to accurately measure the position of each joint of the robot.

- Force sensor: senses the magnitude and direction of the force in the grasp and operation process to achieve flexible control.

- Vision sensors: for product identification, positioning and quality inspection.

For example, visual sensors mounted on the mechanical hand are used to detect appearance defects in injection molded products.

4. Artificial Intelligence technology

Machine learning: It is used to optimize the movement trajectory and operating parameters of robots to improve production efficiency and quality.

- Deep learning: image recognition and fault diagnosis.

For example, deep learning algorithms are used to analyze images of injection molded products and automatically determine whether the products are qualified.

5. Simulation technology

- Motion simulation: The motion of the robot is simulated in the design stage to verify the rationality and feasibility of the design.

- Process simulation: Simulate the injection molding production process and optimize the working flow of the robot.

For example, the interference and collision problems that may occur in the working process of the robot are detected in advance through simulation software.

6. Electrical technology

- Motor drive technology: Select the appropriate motor type (such as servo motor, stepper motor), and design the corresponding drive circuit.

- Power management: Ensure the stable power supply of the robot components.

For example, in order to meet the requirements of high speed and high precision, high-performance AC servo motors and matching drives are selected.

7. Industrial Internet technology

- Remote monitoring, maintenance and management of equipment.

- Data analysis and mining to support production decisions.

For example, the operation data of injection molding robots is collected in real time through the industrial Internet platform to detect potential faults in time and give early warning.

To sum up, the development and production of injection molding robots is a multidisciplinary and complex process, which requires the comprehensive use of the above technologies in order to achieve high-performance and high-reliability injection molding robot products.