Machine Tool Feed Drive Design System Using Real Load Data

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Solution Overview

Problem

Current machine tool feed drive designs often fail to accurately match the specific requirements of a workpiece due to assumptions about machining conditions, leading to suboptimal performance and reduced service life, as well as increased costs from over-engineering for general-purpose applications.

Innovation Solution

A machine tool feed drive design system comprising a component database, detection module, load condition estimation module, and calculation module that detects operation signals during machining, calculates actual load conditions, and selects an optimized component combination from the database to match these conditions, ensuring proper performance and extended service life.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the machine tool is designed for various machining situations to be general-purpose, then the adaptability is improved, but the device complexity and cost increase due to over-specification of components

Engineering Contradiction:
Improvegeneral-purpose capabilityVSAvoidcomponent over-specification
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary action by detecting operation signals and calculating actual load conditions before finalizing the component selection. This allows the design to be based on real measured data rather than assumptions, enabling general-purpose capability without over-specification.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes parameters by using actual load conditions derived from detected operation signals to determine component specifications. This dynamic parameter adjustment allows the machine tool to be optimized for specific machining situations while maintaining adaptability through the ability to re-evaluate based on actual usage patterns.

Inventive Principle:
Principle #35Parameter changes

2Ease of manufacture

If the designer assumes a machining situation to estimate load conditions, then the design process is simplified, but the manufacturing precision of the design matches poorly with actual requirements

Engineering Contradiction:
Improvedesign process simplicityVSAvoiddesign requirement accuracy
Core Design Contradiction:
Ease of manufactureVSManufacturing precision

Solution Approach 1:

The system applies feedback by detecting operation signals from the actual machining process and using these signals to calculate and refine load conditions. This closed-loop approach continuously improves design accuracy by incorporating real operational data, eliminating the need for inaccurate assumptions while maintaining design simplicity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system replaces the mechanical estimation process with an automated detection and calculation system. Operation signals are automatically detected and processed to determine load conditions, substituting manual assumption-based estimation with precise measurement-based determination, thereby improving design accuracy without significantly complicating the process.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If components are selected based on assumed load conditions, then the initial design can be completed quickly, but the reliability of the feed drive system is reduced due to mismatch with actual machining conditions

Engineering Contradiction:
Improvedesign completion speedVSAvoidfeed drive performance
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs preliminary detection of operation signals and calculation of actual load conditions before component selection is finalized. This preliminary action ensures that components are selected based on real data, improving reliability while maintaining efficient design completion through automated processing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from detected operation signals to continuously refine load condition estimates and optimize component selection. This feedback mechanism ensures that the feed drive system is reliably matched to actual machining conditions while the automated nature of the process maintains high productivity in the design completion.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10146212B2Machine tool feed drive design system and method thereof
Publication Date: 2018.12.04 IND TECH RES INST
  • US10146212B2 patent drawing
  • US10146212B2 patent drawing
  • US10146212B2 patent drawing

AI summary

A machine tool feed drive design system is provided, which may include a component database, a detection module, a load condition estimation module and a calculation module. The component database may store the specification data of a plurality of feed drive components. The detection module may detect a plurality of operation signals from a machine tool during a period of time when the machine tool had been executing a machining process to a workpiece. The load condition estimation module may calculate a plurality of actual load conditions according to the operation signals and a device specification parameter of a feed drive of the machine tool. The calculation module may select at least one component combination from the feed drive components according to the actual load conditions and the specification data of the feed drive components to serve as an optimized feed drive specification.