Planar Vertical Milling Parameters Across Rough and Finish Stages
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Solution Overview
Problem
Conventional planar vertical milling process parameter optimization is limited by empirical methods and focuses on single machining stages, leading to suboptimal machining performance, inefficiency, and waste of resources.
Innovation Solution
A method for optimizing planar vertical milling parameters considering multiple machining stages, using a multi-objective mathematical model to determine optimal spindle speed, feed, milling depth, and width, and predicting machining performance to guide the milling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If empirical methods and experiments are used for parameter optimization, then the method is simple to implement, but the optimization range is limited and machining performance is suboptimal
Solution Approach 1:
The patent replaces empirical experimental methods with a computational optimization system that uses mathematical models and algorithms to determine optimal machining parameters, thereby achieving better machining performance without the limitations of trial-and-error experimentation
Solution Approach 2:
The patent transforms the optimization approach by changing from fixed empirical parameter selection to dynamic parameter optimization through mathematical modeling, allowing the system to calculate optimal parameters based on multiple objectives and constraints
2Productivity
If optimization focuses on a single machining stage, then the optimization process is simple, but the result is not applicable to actual production requiring multiple stages
Solution Approach 1:
The patent merges multiple machining stages (rough milling and finish milling) into a unified optimization framework, where parameters for both stages are optimized simultaneously considering their interrelationships, making the results directly applicable to multi-stage production
Solution Approach 2:
The patent creates a universal optimization model that can handle multiple machining stages and multiple objectives simultaneously, making the optimization system adaptable to various production scenarios rather than being limited to single-stage optimization
3Productivity
If multiple machining stages are considered comprehensively, then the optimization result is more applicable to actual production, but the optimization model becomes more complex
Solution Approach 1:
The patent segments the multi-stage optimization problem into distinct phases (rough milling and finish milling) with specific parameters and constraints for each, while maintaining their interconnections through a unified mathematical framework, making the complex problem manageable through structured decomposition
Data Source
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Figure 3(a)~3(b)
AI summary
The present invention discloses a planar vertical milling parameter optimization and machining performance prediction method considering multiple machining stages, which relates to the field of planar vertical milling parameter optimization, and includes: checking a part drawing to identify a to-be-machined plane, analyzing dimension feature parameters of the to-be-machined plane, and determining the models of a machine tool and a cutting tool; setting optimization variables, selecting optimization objectives, determining constraint conditions, and establishing a multi-objective optimization mathematical model for planar vertical milling process parameters in comprehensive consideration of problems related to a rough milling stage and a finish milling stage; then performing optimal solution on the optimization model based on a multi-objective optimization algorithm to obtain an optimal process parameter combination and a machining performance prediction value; and finally, guiding, based on the machining process parameter combination obtained by solution, the planar vertical milling process. The present invention solves the problems of low machining efficiency, great energy consumption and poor machining quality caused by improper selection of process parameters in the planar vertical milling process, and the problem that a process parameter optimization result at a single machining stage is not applicable.