Currently digital transformation has a huge impact on human lives. Digital transformation does not just mean a transformation of a (non-) physical element to a digitally identifiable element. It focuses on the utilization of digital technology for transforming (improving) procedures or routines of business and operation. The manufacturing industry has been adopting the most recent digital technology, and lots of digital data are being created. To utilize the stored data, data analysis is essential. Because the manufacturing data is created in a different format at every manufacturing step, the integration of the data is always the bottleneck of the data analysis. Querying of the right data at the proper time is fundamental for high-level data analysis. The digital thread is introduced to provide the inter-reference of digital data based on a context. This paper proposes a digital thread framework for the machining process. The context of the proposed framework consists of the questions of how the product will be machined, how it is (was) being produced, and how it was made. A prototype software was developed to verify the proposed framework by implementing the creating, storing, and querying modules for simulation, monitoring, and inspection data.
Citations
Citations to this article as recorded by
A Review of Intelligent Machining Process in CNC Machine Tool Systems Joo Sung Yoon, Il-ha Park, Dong Yoon Lee International Journal of Precision Engineering and Manufacturing.2025; 26(9): 2243. CrossRef
The cutting force signal has traditionally served as a reference in conducting the monitoring studies using a variety of sensors to identify the cutting phenomena. There have been continuing studies on how to monitor the cutting force indirectly. It is because it is easier to access when considering an application to the actual machining site. This paper discusses a method of indirectly monitoring the cutting force using the feed drive current to analyze the change in the trend of the cutting force over the lapse of machining time. This enables the analysis of the cutting force by separating it in the X and Y axes of the machining plane. To increase the discrimination of the signal related to the actual cutting phenomenon from the feed drive current signal, a bandpass filter was applied based on the tooth passing frequency. The relationship between the feed drive current and the cutting force analyzed from the machining signal of actual machining conditions was applied to convert the feed drive current into the cutting force. It has been verified through experiments that the cutting load can be estimated with markedly high accuracy as a physical quantity of force from the feed motor current.
Citations
Citations to this article as recorded by
Tool Wear Monitoring System based on Real-Time Cutting Coefficient Identification Young Jae Choi, Ki Hyeong Song, Jae Hyeok Kim, Gu Seon Kang Journal of the Korean Society for Precision Engineering.2022; 39(12): 891. CrossRef
Monitoring technology of machining operations has a long history since unmanned machining was introduced. Lots of research papers were presented and some of them has been commercialized and applied to shop floor. Despite the long history, many researchers have presented new approaches continuously in this area. This paper presents current state of monitoring technology of machining operations. The objectives of monitoring are shortly summarized, and the monitoring methods and the unique sensor technologies are reviewed. The main objective of the monitoring technology remains same; tool condition monitoring (TCM). The general approaches also remain similar; signal processing and decision making. But, the innovative methods for every step of process monitoring are being provided to improve the performance. More powerful computing is lowering the wall of much more data from more sensors by fast calculation. This technology also introduces the novel decision making strategies such as Artificial Intelligent. New materials and new communication technologies are breaking the limitation of sensor positions. Virtual machining technology which estimates the machining physics is being integrated with monitoring technology.
Citations
Citations to this article as recorded by
Reducing the Loss Cost by Setting the Optimal Replacement Cycle for Cutting Tools using FOM-Tool Monitoring Jae Hoon Jang, Seon Jun Jang, Su Young Kim Journal of the Korean Society of Manufacturing Technology Engineers.2023; 32(3): 169. CrossRef
Tool Wear Monitoring System based on Real-Time Cutting Coefficient Identification Young Jae Choi, Ki Hyeong Song, Jae Hyeok Kim, Gu Seon Kang Journal of the Korean Society for Precision Engineering.2022; 39(12): 891. CrossRef
Prediction of Drill Bit Breakage Using an Infrared Sensor Min-Jae Jeong, Sang-Woo Lee, Woong-Ki Jang, Hyung-Jin Kim, Young-Ho Seo, Byeong-Hee Kim Sensors.2021; 21(8): 2808. CrossRef
Recent Developments and Challenges on Machining of Carbon Fiber Reinforced Polymer Composite Laminates Jaewoo Seo, Do Young Kim, Dong Chan Kim, Hyung Wook Park International Journal of Precision Engineering and Manufacturing.2021; 22(12): 2027. CrossRef
Cutting Force Estimation Using Feed Motor Drive Current in Cutting Process Monitoring Ki Hyeong Song, Dong Yoon Lee, Kyung Hee Park, Jae Hyeok Kim, Young Jae Choi Journal of the Korean Society for Precision Engineering.2020; 37(11): 803. CrossRef
Evaluation of the Grinding Performance of an Engine Block Honing Stone through Monitoring of Workload and Heat Generation Jang-Woo Yun, Sang-Beom Kim Journal of the Korean Society of Manufacturing Process Engineers.2019; 18(4): 69. CrossRef
Implementation of Wireless Condition Monitoring System in a Cutting Tool Using Accelerometer Yong Tae Kim, Yoo Su Kang, Hyung Jin Kim, Young Ho Seo, Byeong Hee Kim Journal of the Korean Society of Manufacturing Technology Engineers.2019; 28(3): 198. CrossRef
Machine tools are one of the energy-intensive equipment used in the manufacturing industry. The importance of energy has increased and the machine tools are required to be energy-efficient. The servo systems of the machine tool consume electrical power to rotate a spindle and to feed a tool during machining. Servo system consumes a lot of energy when the machine tool is operated. The energy consumption pattern of each axis needs to be investigated in order to optimize the machining process with regard to energy cost. In this paper, an energy monitoring system is developed considering various measuring points of servo system in order to grasp the energy consumption pattern of each axis.
Hard turning is a machining process for hardened materials with high surface quality so that grinding process can be eliminated. Therefore, the hard turning is capable of reducing machining time and improving productivity. In this study, hardened AISI4140 (high-carbon chromium steel) that has excellent yield strength, toughness and wear resistance was finish turned using CBN tools. Wear characteristics of CBN tool was analyzed in dry and MQL mixed with nano-particle (Nano-MQL). The dominant fracture mechanism of CBN tool is diffusion and dissolution wear on the rake surface resulting in thinner cutting edge. Abrasive wear by hard inclusion in AISI4140 was dominant on the flank surface. Nano-MQL reduced tool wear comparing with the dry machining but chip evacuation should be considered. A cryogenically treated tool showed promising result in tool wear.
Mass reduction of the machine tool movable parts is a tool for achieving lower energy demands of the machine tool operation. The realization of lightweight design in machine tool can be achieved by structural lightweight design and material lightweight design. In this study, topology optimization strategy was applied to design optimized structures of movable parts of 5 axis machining center. The weight of ram which has most significant influence on the stiffness of whole machine tool was reduced without stiffness deterioration. The redesigned optimized ram has 24.2% less weight while maintaining the same displacement caused by cutting force.
??In order to cope with the requirements of smaller patterns, larger surfaces and lower costs in the fields of displays, optics and energy, greater attentions is now being paid to the development of micro-pattern machining technology. Compared with flat molds, roll molds have the advantages of short delivery, ease of manufacturing larger surfaces, and continuous molding. This paper presents the state-of-the-art of the micro pattern machining technology on the roll molds and introduces some research results on the machining process technology. The copper and nickel-phosphorous-alloy plating process, machining process technology for uniform micro patterns, micro cutting simulation and the real time monitoring system for micro machining are summarized. The developed technologies have led the complete localization of the prism sheets and will be applied to the direct forming process with succeeding research & development.
First
Prev
