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Database: 365,228(8 Aug 2026)
reliability evaluation evaluation indicators mean time reliability evaluation cnc machine tools reliability assessment reliability test methods reliability assessment methods pressure relief equipment virtue requirements content- glow discharge mass spectrometry introductionthis standard
GB/T 23567.2-2018 in English

GB/T 23567.2-2018 in English

VALID

Reliability evaluation for numerical control machine tools—Part 2:Machining centres

  • Issued on:2018-07-13
  • Implemented on:2019-02-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $290.00
$282.00
Standard No: GB/T 23567.2-2018
Document status: VALID
Title in English: Reliability evaluation for numerical control machine tools—Part 2:Machining centres
Title in Chinese: 数控机床可靠性评定 第2部分:加工中心
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 1~3 business days
Issued on: 2018-07-13
Implemented on: 2019-02-01
ICS Classification: 25.040.20-Numerically controlled machines
Chinese Classification: J50-Machine tool in general
Professional Classification: GB-National Standard
Related Keywords: reliability evaluation evaluation indicators mean time
reliability evaluation
cnc machine tools reliability assessment
reliability test methods
reliability assessment methods
Related Topics: CNC
CNC machine tool
CNC machine tool
CDC Organic & Inorganic
production center reliability
GB/T 23567.2
GB/T 23567.2-2018
CNC machining center group
What are the standards for CNC machine tool processing?

《GB/T 23567.2-2018数控机床可靠性评定 第2部分:加工中心》由TC22(全国金属切削机床标准化技术委员会)归口,主管部门为中国机械工业联合会。


Introduction

1. Standard Overview

GB/T 23567.2—2018 "Reliability Assessment of CNC Machine Tools Part 2: Machining Center" is a key standard for reliability assessment of machining centers. It aims to standardize test methods, data collection and reliability assessment methods to ensure the reliability and performance of machining centers.

2. Comparison of standard frameworks

Standard dimensions GB/T 23567.1—2009 GB/T 23567.2—2018 JB/T 8801—2017
Scope of application Overall reliability assessment of CNC machine tools Reliability assessment of machining centers Technical conditions of machining centers
Test methods Simulated field and tracking statistical tests Specific test methods for machining centers Performance testing and reliability evaluation
Evaluation indicators Mean time between failures (MTBF) Comprehensive evaluation based on MTBF and number of failures Geometric accuracy and positioning accuracy

3. Reliability test methods

3.1 Simulated field test

Applicable to newly developed and improved machining centers, using a non-replacement timed truncation test, with a cumulative time of no less than 200 hours. Simulate actual use conditions, including idling, axis loading, spindle system static stiffness tests, etc.

3.2 Tracking and statistical field test

For mass-produced products, a fixed number truncation method is used, with a cumulative time of no less than 2000 hours. Focus on the collection and analysis of actual operation data.

4. Test requirements and specifications

  • Environmental conditions:Tests should be conducted at room temperature to ensure that the machine tool operates normally.
  • Pre-inspection:A comprehensive inspection of the machine tool should be completed before the test to ensure that there are no initial faults.
  • Measuring instruments:All equipment must be calibrated and used within the validity period.

5. Data collection and reliability assessment

Data collection should record the operating status of the machine tool in real time, including the time, location and cause of the fault. Reliability assessment uses the MTBF estimation method, combining the number of failures and the reliability coefficient for comprehensive evaluation.

6. Implementation suggestions

In actual applications, it is recommended that enterprises:
  1. Select test methods and equipment strictly in accordance with the standards.
  2. Ensure the accuracy and completeness of test data.
  3. Strengthen personnel training and improve fault analysis capabilities.

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