In mechanical hand wheel valve body axis machining, idle stroke refers to the ineffective movement of the manipulator when it is not actually cutting, which not only wastes machining time, but also increases equipment wear and energy consumption. Reducing idle stroke by optimization algorithm is of great significance to improving machining efficiency and quality.
The optimization algorithm can replan the motion path of the manipulator based on the in-depth analysis of the machining process and the motion characteristics of the manipulator. For example, a genetic algorithm is used, which simulates natural selection and genetic mechanisms to select the optimal solution from many possible path schemes. In the initial stage, a large number of random manipulator motion paths are generated as "populations", and then through operations such as "selection", "crossover" and "mutation", it is continuously iterated and evolved, and finally a path with the shortest idle stroke and the highest machining efficiency is obtained.
The ant colony algorithm is also an effective tool to reduce idle stroke. The algorithm simulates the foraging behavior of ants. Ants release pheromones in the process of looking for food. Subsequently, ants choose paths according to the concentration of pheromones. The more concentrated the pheromones, the greater the probability of being selected. In the manipulator path planning, each possible motion node is regarded as a "food point". The manipulator "releases" virtual pheromones during the movement. After multiple iterations, the pheromones will be concentrated on the optimal path, thereby guiding the manipulator to choose the path with the shortest empty stroke.
In addition, the algorithm based on particle swarm optimization also performs well. It regards the movement path of the manipulator as a group of particles flying in the search space. Each particle has its own position and speed, and adjusts its flight direction by tracking the individual optimal position and the group optimal position. In the process of continuous iteration, the particles gradually approach the optimal solution and finally find the manipulator movement path with the least empty stroke.
The application of these optimization algorithms enables the manipulator to move in a more efficient way when processing the wheel valve body shaft. Reducing the empty stroke means that the manipulator can reach the processing position faster and shorten the overall processing time. At the same time, the reduction of the empty stroke also reduces the inertial impact of the manipulator's movement, which helps to improve the processing accuracy and surface quality.
In actual applications, enterprises can choose appropriate optimization algorithms according to their own processing needs and equipment characteristics. Moreover, with the continuous development of technology, the optimization algorithm will also be continuously improved and perfected, bringing higher efficiency and better quality to the machining of mechanical hand wheel valve body axis, and promoting the manufacturing industry to move towards intelligence and efficiency.
