In the ever-evolving landscape of enterprise development, the shapes and structures of workpieces to be processed have become increasingly diverse and complex. This poses a significant challenge for enterprises utilizing CNC machining technology, as formulating high-quality process planning for complex workpiece structures is no easy task.
To tackle this challenge, Want.Net has identified and analyzed the typical features of complex workpieces using CNC milling tools, establishing a comprehensive database within our company. This database plays a crucial role in simplifying the process of handling complex workpieces, enhancing work efficiency, and improving processing accuracy.
Analyzing CNC Milling Technology for Complex Workpieces
Processing complex workpieces is widely known to be difficult. To achieve efficient and high-quality CNC processing, it is vital to establish a well-thought-out process planning strategy. Process planning not only directly impacts the quality and efficiency of CNC products but also presents challenges in CNC programming, thereby influencing production costs and customer processing budgets.
The key to successfully processing complex workpieces lies in understanding their process characteristics and utilizing specific processing equipment such as 3-axis or 5-axis CNC machines to enhance their quality and implement advanced technology. Process technology selection should be based on the distinctive characteristics and shape attributes of the complex workpieces during the process planning stage.
Moreover, due to the size limitations imposed by complex workpieces, an increasing number of them are now processed using 3-axis CNC machine tools. When utilizing five-axis CNC machining, it is essential to focus on process planning by considering the class, size, and comprehensive data of the complex workpiece. This approach helps determine the feasibility of implementing new CNC technology and the potential for enhancing processing efficiency. In the CNC process planning of complex workpieces, considerations should include the machine tool used for processing, the specific processing sequence, and the selection of tools and tool paths.
Thorough investigation and analysis are conducted, utilizing geometric models to automatically identify the features of complex workpieces during the process planning phase. The CNC machining features of these workpieces are derived, and similar or identical workpieces are integrated and analyzed. Based on this analysis, the processing sequence and technical operations are specified, with the possibility of building a CNC process planning library, CNC process method library, and CNC process fixture library within the allowable conditions.
By leveraging these CNC process libraries, we can achieve high-efficiency process planning and interactive design, rapidly determine the equipment required for CNC processing of complex workpieces, and establish processing methods and parameters. This reduces the workload of CNC designers and significantly enhances the efficiency of CNC technology process planning while ensuring product quality.
The Role of Want.Net’s Project Programming Team
At Want.Net, we possess over 20 years of experience in CNC machining, and our strength lies in our exceptional project programming team. Throughout our extensive work history, we have accumulated a comprehensive internal database. When faced with complex workpieces, we can refer to similar projects within our database, effectively resolving programming issues, saving project time, and improving the success rate of our projects. It is worth emphasizing that programmers play a pivotal role in determining the accuracy and efficiency of processing complex parts, thereby influencing their overall performance.
The Practical Application of the Want.Net Machining Database
The practical application of the Want.Net machining database during CNC processing is invaluable. Given the various types and shapes of complex workpieces encountered, intricate technical operations are often required during the machining process. However, the characteristics of complex workpieces have a positive impact on simplifying their processing.
By digitizing, integrating, and automating the CNC machining process, we can significantly reduce the time wasted on CNC programming and minimize product scrap rates. To illustrate the importance of feature recognition in CNC processing, we will focus on the example of machining tooth-shaped components.
When presented with an aluminum reflector featuring challenging teeth structures, we refer to our database and identify similar geometric shapes that we have previously worked on. Although the materials and sizes may differ, the tooth structure remains the same. Building on our prior programming experience, we execute data processing process planning, followed by the selection of CNC machining methods, fixtures, machine tools, tools, and parameters. The resulting flowchart demonstrates the effectiveness of our approach. Leveraging our extensive experience, the aluminum reflector project was completed in just 8 days. By comparing it to a project without the database, where no feature analysis or generalization was employed, we saved 2 days, representing nearly a 20% reduction in time while greatly reducing processing errors.
Of course, the Want.Net database also plays a crucial role in identifying processing errors encountered with unique-shaped items. By summarizing past processing errors, we can avoid repeating the same mistakes in future production processes. The long-term accumulation and integration of this vast database will contribute significantly to the future of intelligent manufacturing at Want.Net.
Harnessing the Power of Data in Manufacturing
In today’s data-driven era, possessing data is a key advantage, and the manufacturing industry is no exception. The vast amount of processing data and error summaries accumulated by Want.Net have been meticulously organized into a comprehensive database. This resource has substantially reduced production time and scrap rates in our current operations, benefiting our customers by saving them time and cost, and improving our own production efficiency. This database stands as Want.Net‘s most valuable asset.
