This study aimed to develop a regression-based model for predicting tool life in manufacturing environments, with goals of enhancing productivity and reducing costs. In machining operations, particularly roughing processes, high cutting forces can accelerate tool wear, often leading to process interruptions and increased defect rates. Previous research on tool life prediction has frequently relied on empirical models and statistical methods, which face limitations in reliability across diverse machining conditions. To address this issue, we proposed a data-driven approach that could collects tool wear data under varying machining conditions (such as cutting speed, feed rate, and depth of cut) and applied regression models to predict tool life effectively. The model’s performance was validated under multiple conditions to assess its predictive accuracy. This study offers a practical tool life management solution for manufacturing settings, optimizing tool usage and enhancing operational efficiency.

This research developed a CAM S/W, which generates an adaptive 5-axis tool path, to optimize the quality of Direct Energy Deposition (DED) 3D printing. After reconstructing part shapes and generating printing paths in each shape, the path simulation including automatic collision detection was implemented. Productivity and printing quality were improved through equipment improvement and process optimization. In addition, high-quality parts with desirable physical and mechanical properties were produced by generating an adaptive 5-axis path specialized in the printing process that reflects various physical phenomena and monitoring results. Finally, the performance of CAM S/W was verified through the production of prototypes for industrial components.

There are two well-known synthetic approaches for copper nanowires (CuNWs): ethylenediamine (EDA)-mediated synthesis and alkylamine-mediated synthesis. The alkylamine-mediated synthesis produces very high aspect ratio nanowires but requires an autoclave for high-pressure environments, and a long reaction time, which normally is above 12 hours. The EDA-mediated synthesis can be carried out under normal conditions and requires 30 min. The CuNWs produced by this method have an average aspect ratio lower than 1000 and are produced in a lower yield. In this paper, the researchers present a modified EDA-mediated synthesis to improve the yield and reduce the synthesis time. When NaOH and Cu(NO3)2 were replaced with KOH and CuCl2, respectively and the reaction temperature was kept at room temperature, the synthesis time was shortened to 15 min. Moreover, the aspect ratio of the as-synthesized Cu NWs increased to 650 and the synthesis yields raised from 17.73% to 80.16%.

This paper introduces a facile method to enhance the functionality of a patterned metallic transparent conductor through selective laser ablation of the metal nanowire percolation network. By scanning focused nanosecond pulsed laser a on copper nanowire percolation network, the copper nanowires are selectively ablated and patterned without resorting to any conventional chemical etching or photolithography steps. Several arbitrary patterns of copper nanowire transparent conductors are readily created on the percolation network by changing various laser parameters, such as repetition rate and power. Finally, in a few seconds, the copper nanowire electrode is continuously ablated to a 1 × 1 mm square area. This research thereby proves the advantage of the laser fabrication method.

High-accuracy micropatterns such as V-shaped microgrooves are increasingly in demand for various engineering areas. And the technical trend goes for large surface areas in precision machining technology. So micropatterns with large surface areas are expected to play an increasingly important role in today’s manufacturing technology. In this study, we focused on developing machining technologies. First, a machine vision system for precise tool setting is developed. Second, an on-machine measurement (OMM) system for large-area measurement is implemented. And also software for tool path generation and simulation is developed. With these technologies we fabricated large-surface micropatterns in an electroless nickel-plated workpiece with single-crystal diamond tools and a 32-in, ㎜ ㎜ 450 675 × mold with tens of V-and pyramid-shaped micropatterns.

Although the conventional contour parallel tool path obtained from geometric information has been successful to make desirable shape, it seldom consider physical process concerns like cutting forces and chatters. In this paper, an optimized contour parallel path, which maintains constant MRR(material removal rates) at all time, is introduced and the result is verified. The optimized tool path is based on a conventional contour parallel tool path. Additional tool path segments are appended to the basic tool path in order to achieve constant cutting forces and to avoid chatter vibrations at the entire machining area. The algorithm has been implemented for two dimensional contiguous end milling operations with fiat end mills, and cutting tests were conducted to verify the significance of the proposed method.