18346546. APPARATUS AND METHOD FOR STEP-WISE SPINDLE DIAGNOSIS FOR MACHINING CENTER WITH DIFFERENT TOOLS LOADED simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)

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APPARATUS AND METHOD FOR STEP-WISE SPINDLE DIAGNOSIS FOR MACHINING CENTER WITH DIFFERENT TOOLS LOADED

Organization Name

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor(s)

Sung Jae Yoon of Daejeon (KR)

Munyoung Lee of Daejeon (KR)

Seung Hyub Jeon of Daejeon (KR)

Jung-Chan Na of Daejeon (KR)

APPARATUS AND METHOD FOR STEP-WISE SPINDLE DIAGNOSIS FOR MACHINING CENTER WITH DIFFERENT TOOLS LOADED - A simplified explanation of the abstract

This abstract first appeared for US patent application 18346546 titled 'APPARATUS AND METHOD FOR STEP-WISE SPINDLE DIAGNOSIS FOR MACHINING CENTER WITH DIFFERENT TOOLS LOADED

Simplified Explanation

The present invention relates to a machining center spindle diagnosis apparatus and method for verifying the suitability of a tool and diagnosing a spindle on a machining center.

  • Monitoring tool changes in the machining center
  • Idling the spindle when a tool change is recognized
  • Acquiring sensor data during spindle idling
  • Inputting sensor data to a pre-trained tool verifying model using machine learning technology
  • Inputting sensor data to a pre-trained spindle diagnosing model using machine learning technology

Potential Applications

This technology can be applied in industries that use machining centers for precision manufacturing, such as automotive, aerospace, and medical device manufacturing.

Problems Solved

1. Ensuring the suitability of tools for specific machining tasks 2. Diagnosing the operating state of spindles to prevent breakdowns and optimize performance

Benefits

1. Improved efficiency and accuracy in machining processes 2. Reduced downtime and maintenance costs for machining centers

Potential Commercial Applications

"Tool and Spindle Diagnosis Technology in Machining Centers"

Possible Prior Art

There may be prior art related to tool verification and spindle diagnosis in machining centers using sensor data and machine learning technology, but specific examples are not provided in this patent application.

Unanswered Questions

How does the machine learning technology adapt to different types of tools and spindles in the machining center?

The patent application does not provide details on how the machine learning models are trained to accommodate various tools and spindle configurations.

What specific sensor data is collected during spindle idling, and how is it used to verify tool suitability and diagnose spindle conditions?

The patent application mentions acquiring sensor data during spindle idling but does not specify the types of sensors or the specific data points collected for analysis.


Original Abstract Submitted

The present invention relates to verifying the suitability of a tool and diagnosing a spindle for a machining center on which different tools are mounted. Provided are a machining center spindle diagnosis apparatus and method configured to monitor a change of a tool in the machining center; when the change of the tool is recognized, control the machining center to idle the spindle; acquire sensor data from a sensor installed on the machining center during the idling of the spindle; input the acquired sensor data to a tool verifying model pre-trained by a machine learning technology to verify suitability of the tool; and when the tool is verified to be suitable, inputting the acquired sensor data to a spindle diagnosing model pre-trained by the machine learning technology to diagnose an operating state of the spindle.