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Optimized Design of Source Energy for Manufacturing Machine by Digital Numerical Control

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10252682" target="_blank" >RIV/61989100:27240/23:10252682 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://journal.ump.edu.my/ijame/article/view/8692" target="_blank" >https://journal.ump.edu.my/ijame/article/view/8692</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15282/ijame.20.1.2023.12.0797" target="_blank" >10.15282/ijame.20.1.2023.12.0797</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Optimized Design of Source Energy for Manufacturing Machine by Digital Numerical Control

  • Popis výsledku v původním jazyce

    - The quality of the power supplied to the machining center is a key factor in determining the accuracy of the machine&apos;s operation. The precision of the machining center is to ensure that the spindle accuracy is less than 3 microns. This study proposes a digital numerical control system to control the quality of the power supply and control the accuracy of the spindle axis of the machining center to monitor the measurement results in real time. The computer vision system is set up according to the artificial intelligent (AI) technique to recognize human face objects and control the position of the processor respectively on each line. The online measurement system follows the digital numerical control (DNC) system applied at each processing line, measuring product dimensions, measuring conditions for setting up machining tools, and measuring machine coordinates. The system operates fully automatically, eliminating dependence on operator skill, and facilitating operation in control of machining conditions. Improve machining center operator satisfaction. After implementation of the improvement options, total cost down 1.740 USD per year, the monthly repair cost due to broken drill, spindle alignment decreased from $5000 to $3,300 per month. The scrap rate related to the hole size decreased from 0.47% to 0.23% (cost down $35 per month). Downtime for repair reduced from 20 hours per month to 7.5 hours per month (cost down $10 per month). Broken drill rate was reduced from 0.20% to 0.06% (cost down $100 per month).

  • Název v anglickém jazyce

    Optimized Design of Source Energy for Manufacturing Machine by Digital Numerical Control

  • Popis výsledku anglicky

    - The quality of the power supplied to the machining center is a key factor in determining the accuracy of the machine&apos;s operation. The precision of the machining center is to ensure that the spindle accuracy is less than 3 microns. This study proposes a digital numerical control system to control the quality of the power supply and control the accuracy of the spindle axis of the machining center to monitor the measurement results in real time. The computer vision system is set up according to the artificial intelligent (AI) technique to recognize human face objects and control the position of the processor respectively on each line. The online measurement system follows the digital numerical control (DNC) system applied at each processing line, measuring product dimensions, measuring conditions for setting up machining tools, and measuring machine coordinates. The system operates fully automatically, eliminating dependence on operator skill, and facilitating operation in control of machining conditions. Improve machining center operator satisfaction. After implementation of the improvement options, total cost down 1.740 USD per year, the monthly repair cost due to broken drill, spindle alignment decreased from $5000 to $3,300 per month. The scrap rate related to the hole size decreased from 0.47% to 0.23% (cost down $35 per month). Downtime for repair reduced from 20 hours per month to 7.5 hours per month (cost down $10 per month). Broken drill rate was reduced from 0.20% to 0.06% (cost down $100 per month).

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20201 - Electrical and electronic engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    International Journal of Automotive and Mechanical Engineering

  • ISSN

    2229-8649

  • e-ISSN

    2180-1606

  • Svazek periodika

    20

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    MY - Malajsie

  • Počet stran výsledku

    15

  • Strana od-do

    10307-10321

  • Kód UT WoS článku

    000986305500001

  • EID výsledku v databázi Scopus