How does Manhart (Guangdong) CNC Machine Tool Co., Ltd. evaluate the machining accuracy of mechanical electric rolling machines through surface quality assessment?

How to evaluate the machining accuracy of mechanical electric rolling machines through surface quality assessment?
Surface quality assessment is an important means of detecting the machining accuracy of mechanical electric rolling machines. By deeply analyzing the quality characteristics of the processed surface, the processing performance of the mechanical electric rolling machine can be effectively judged, thereby ensuring product quality and production efficiency. This article will focus on the definition of surface quality, overview of evaluation methods, roughness detection, smoothness evaluation, flatness analysis, influence of processing parameters, and comprehensive accuracy evaluation. It will explore in detail how to use surface quality evaluation to detect the processing accuracy of mechanical electric rolling machines.
1、 Definition of surface quality
Surface quality refers to the micro geometric characteristics and physical properties of the surface of a workpiece after processing. For mechanical electric plate rolling machines, the quality of their machining surface directly reflects the processing ability and accuracy level of the equipment. Therefore, through surface quality assessment, the machining accuracy of mechanical electric rolling machines can be indirectly understood.
2、 Overview of evaluation methods
Surface quality assessment mainly includes methods such as visual inspection, touch perception, and quantitative measurement. Visual inspection determines the quality of the processed surface by observing its color, luster, and texture characteristics; Touch perception further understands the surface roughness and smoothness through the touch of the hand; Quantitative measurement uses professional measurement tools such as roughness meters, optical microscopes, etc. to accurately measure various indicators of the processed surface.
3、 Roughness detection
Roughness is one of the important indicators for evaluating the quality of processed surfaces. By using measuring tools such as roughness meters, the roughness of the machined surface can be accurately measured. Based on the measurement results, it can be determined whether there are problems such as tool wear and excessive cutting force during the machining process of the mechanical electric rolling machine, and then analyze their impact on machining accuracy.
4、 Evaluation of smoothness
Glossiness refers to the smoothness of the processed surface. A surface with high smoothness not only looks beautiful, but also helps to improve the service life and performance of the product. By visual inspection and touch perception, a preliminary evaluation of the smoothness of the processed surface can be made; At the same time, combining quantitative measurement results can more accurately determine the machining accuracy of mechanical electric rolling machines.
5、 Flatness analysis
Flatness refers to the flatness of the processed surface. A surface with high flatness is beneficial for ensuring the stability and accuracy of the product. By analyzing the flatness of the machining surface, we can understand the vibration and deformation of the mechanical electric plate rolling machine during the machining process, and thus determine its impact on machining accuracy.
6、 Processing parameter influence
The processing parameters of mechanical electric rolling machines, such as cutting speed, feed rate, cutting depth, etc., have a significant impact on the quality of the processed surface. Reasonable setting of processing parameters can improve the quality of the processed surface, while conversely, it may lead to a decrease in surface quality. Therefore, when evaluating surface quality, it is necessary to fully consider the influence of processing parameters and optimize and adjust them.
7、 Comprehensive evaluation of accuracy
By comprehensively considering surface quality indicators such as roughness, smoothness, and smoothness, the machining accuracy of mechanical electric rolling machines can be comprehensively evaluated. At the same time, by analyzing the impact of processing parameters, the key factors affecting machining accuracy can be identified, and corresponding improvement measures can be formulated. By continuously optimizing processing parameters and improving equipment performance, the machining accuracy and product quality of mechanical electric rolling machines can be improved.
In summary, surface quality assessment can effectively detect the machining accuracy of mechanical electric rolling machines. In practical applications, various evaluation methods and indicators should be fully utilized to comprehensively evaluate and analyze the quality of the processed surface, in order to timely identify problems and take corresponding improvement measures to improve the machining accuracy and performance of the equipment.