ANALYSIS OF THE EFFECT OF AICC PARAMETERS VARIATION ON CNC MILLING MACHINES ON MACHINING TIME AND WORKPIECE ACCURACY

The global market for Computer Numerical Control (CNC) milling machines continues to grow at a significant rate, with the automotive industry being the largest end-user. The Fanuc 31i controller is one of the leading controllers in the manufacturing industry. This controller has AI nano CNC features that support high-precision movements and high-speed NC program execution. The more understanding of the AICC (AI Contour Control) parameter settings can make a significant contribution to improvement of production efficiency and quality. This research is conducted to investigate the influence of changing the "R" value in the AICC parameter on the CNC Milling machine OKK VP1200 with the Fanuc 31i controller to machining time and workpiece accuracy. The experiments were conducted on three shapes: complex, circle, and square, using three test specimens with variations in AICC parameters ranging from R1 to R10. By adjusting these parameters, the actual machining time was recorded, and the accuracy of the machining process was measured using a Coordinate Measuring Machine (CMM) and later the data was analyzed. This study presents data and instructions for the application of AICC R1-R10 parameters that is adjusted to the specified tolerances or deviations. Furthermore, the research can provide the percentage of actual time compared to the programmed time if a CAM Programmer has determined the tolerance range limit or deviation of a product and determined which AICC parameters to use. In practice, a CAM Programmer can make predictions for two aspects based on the data in this research that are actual machining time and product accuracy.

Authors

Publication Details

Journal
Jurnal Teknik Mesin
Published
2024-10-07
DOI
https://doi.org/10.22441/jtm.v13i3.28102
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF THE EFFECT OF AICC PARAMETERS VARIATION ON CNC MILLING MACHINES ON MACHINING TIME AND WORKPIECE ACCURACY

Henri Hendrik Sijabat, R Ariosuko Dharmajati
Jurnal Teknik Mesin
Advanced machining processes and optimization
article

ANALYSIS OF THE EFFECT OF AICC PARAMETERS VARIATION ON CNC MILLING MACHINES ON MACHINING TIME AND WORKPIECE ACCURACY

Henri Hendrik Sijabat, R Ariosuko Dharmajati
article en

Abstract

The global market for Computer Numerical Control (CNC) milling machines continues to grow at a significant rate, with the automotive industry being the largest end-user. The Fanuc 31i controller is one of the leading controllers in the manufacturing industry. This controller has AI nano CNC features that support high-precision movements and high-speed NC program execution. The more understanding of the AICC (AI Contour Control) parameter settings can make a significant contribution to improvement of production efficiency and quality. This research is conducted to investigate the influence of changing the "R" value in the AICC parameter on the CNC Milling machine OKK VP1200 with the Fanuc 31i controller to machining time and workpiece accuracy. The experiments were conducted on three shapes: complex, circle, and square, using three test specimens with variations in AICC parameters ranging from R1 to R10. By adjusting these parameters, the actual machining time was recorded, and the accuracy of the machining process was measured using a Coordinate Measuring Machine (CMM) and later the data was analyzed. This study presents data and instructions for the application of AICC R1-R10 parameters that is adjusted to the specified tolerances or deviations. Furthermore, the research can provide the percentage of actual time compared to the programmed time if a CAM Programmer has determined the tolerance range limit or deviation of a product and determined which AICC parameters to use. In practice, a CAM Programmer can make predictions for two aspects based on the data in this research that are actual machining time and product accuracy.

Jurnal Teknik MesinVol. 13(3)
Openalex Percentile: Top 71%
Advanced machining processes and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.