Investigation of Cutting Force in Screw Cutting by Three Axis Controlling Helical Interpolate With a Wireless Communication Tool Holder System

Abstract In recent years, the movement of machine tools including 5-axis control machining centers (5 MC) and turning centers has progressed to enable machining at high speeds and high degrees of accuracy. The accuracy of simultaneous three-axis movement at very high feed speeds has increased significantly. Specifically, with the development of control technologies for these machine tools featuring simultaneous three-axis control, the accuracy of helical interpolation motion at high feed speed has achieved a sufficient level to perform processes such as screw cutting with a thread mill tool. Boring machining and pocket machining for difficult-to-cut materials are processing methods that employ helical interpolation movements with an endmill tool, and it is becoming a promising technology in light of recent advancements. Therefore, we looked at screw cutting with a thread mill tool and proposed a novel monitoring method to improve the accuracy of machining the screw by deriving the radial force of thread cutting from three components — two forces in the X and Y directions and torque around the Z axis — using a piezoelectric dynamometer. In this study, we also investigated the accuracy of machining the screw when the pilot hole and screw were drilled at the same time as well as the accuracy when the pilot hole is drilled beforehand. In addition, we monitored the cutting data and X-Y feed motions using a wireless holder and CNC information to construct a smart manufacturing method for machining screws using helical interpolation. As a result, the proposed monitoring method is effective at improving the accuracy of machining screws from various work materials using helical interpolation motion of a thread mill tool.

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Study on cutting force of reaming porcine bone and substitute bone

Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine ◽

10.1177/09544119211043758 ◽

2021 ◽

pp. 095441192110437

Author(s):

Zhihua Liu ◽

Jianbo Sui ◽

Bin Chen ◽

Zhishan Yuan ◽

Cezhi Du ◽

...

Keyword(s):

Cancellous Bone ◽

Force Characteristic ◽

Successful Implementation ◽

Feed Speed ◽

Feedback Systems ◽

Protection Mechanism ◽

High Feed ◽

Assistant Systems ◽

Realistic Force

Accurate mechanical feedback systems are critical to the successful implementation of virtual and robotic surgical assistant systems. Experimental measurements of reaming force could further our understanding of the cancellous bone reaming process during hip arthroplasty to help develop surgical simulators with realistic force effects and improve the protection mechanism of robot-assisted surgical systems. In this study, reaming experiments with natural bone (porcine femur) and a bone substitute (polyurethane blocks) were performed on a CNC lathe. This paper proposes using the maximum reaming force of the steady reaming stage to represent the force characteristic. The reaming force is biased to one side in the overlap direction and the maximum reaming force will vary when the reamer is not coincident with the long axis of the bone. The diameter of the reamer has the greatest influence on reaming force, which clearly increases with increasing reamer diameter. During operation, a medium rotation speed and high feed speed can reduce the reaming force. After cutting, the morphology of the cut surface is not flat, but arc-shaped, which will have a significant impact on implantation of the femoral prosthesis. In in vitro cutting experiments, polyurethane blocks can be used as a substitute for cancellous bone.

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Pattern Recognition in Multivariate Time Series: Towards an Automated Event Detection Method for Smart Manufacturing Systems

Journal of Manufacturing and Materials Processing ◽

10.3390/jmmp4030088 ◽

2020 ◽

Vol 4 (3) ◽

pp. 88 ◽

Cited By ~ 1

Author(s):

Vadim Kapp ◽

Marvin Carl May ◽

Gisela Lanza ◽

Thorsten Wuest

Keyword(s):

Time Series ◽

Real World ◽

Manufacturing Systems ◽

Multivariate Time Series ◽

Series Data ◽

Smart Manufacturing ◽

Monitoring Method ◽

Data Set ◽

Failure Patterns ◽

Smart Manufacturing Systems

This paper presents a framework to utilize multivariate time series data to automatically identify reoccurring events, e.g., resembling failure patterns in real-world manufacturing data by combining selected data mining techniques. The use case revolves around the auxiliary polymer manufacturing process of drying and feeding plastic granulate to extrusion or injection molding machines. The overall framework presented in this paper includes a comparison of two different approaches towards the identification of unique patterns in the real-world industrial data set. The first approach uses a subsequent heuristic segmentation and clustering approach, the second branch features a collaborative method with a built-in time dependency structure at its core (TICC). Both alternatives have been facilitated by a standard principle component analysis PCA (feature fusion) and a hyperparameter optimization (TPE) approach. The performance of the corresponding approaches was evaluated through established and commonly accepted metrics in the field of (unsupervised) machine learning. The results suggest the existence of several common failure sources (patterns) for the machine. Insights such as these automatically detected events can be harnessed to develop an advanced monitoring method to predict upcoming failures, ultimately reducing unplanned machine downtime in the future.

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Non-Contact Measuring Modeling and Simulation of CNC Machine Tools under High Feed Rate Condition

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.10-12.621 ◽

2007 ◽

Vol 10-12 ◽

pp. 621-625

Author(s):

X.S. Wang ◽

Jian Guo Yang

Keyword(s):

Feed Rate ◽

Machine Tools ◽

Laser Interferometer ◽

Measurement Model ◽

Cnc Machine Tools ◽

Cnc Machine ◽

Rate Condition ◽

High Feed Rate ◽

High Feed ◽

Measurement Principle

This article sets forth a new precision measurement method of CNC machine tools. The method incorporates the laser interferometer and the measurement principle of the double ball bar (DBB), and can measure the machine tool precision under the high feed rate condition. The generalized measurement model of three-axis has been built. Data analysis software is developed to simulate the run condition of machine tools. The repeatable experiment results proves that the method is feasible and its precision is higher than DBB`s.

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Estimation of Cutting Temperature in High-Feed-Speed Machining of Carbon Fiber-Reinforced Thermoplastics

International Journal of Automation Technology ◽

10.20965/ijat.2016.p0341 ◽

2016 ◽

Vol 10 (3) ◽

pp. 341-347 ◽

Cited By ~ 1

Author(s):

Takuki Ishida ◽

◽

Ryo Koike ◽

Tojiro Aoyama ◽

Yasuhiro Kakinuma ◽

...

Keyword(s):

Carbon Fiber ◽

Automotive Industry ◽

Production Efficiency ◽

High Efficiency ◽

Cutting Temperature ◽

Processing Method ◽

Feed Speed ◽

Fiber Reinforced ◽

High Feed ◽

Carbon Fiber Reinforced

In recent years, many composite materials have been used in industry. Among such materials, the demand for carbon fiber-reinforced plastic (CFRP) is increasing. Although CRFP is used in various fields such as the aerospace industry, automotive industry, and sports equipment because of its light weight and high strength, it has poor production efficiency. Thus, carbon fiber-reinforced thermoplastic (CFRTP), with characteristics similar to CFRP but higher in production efficiency, has attracted attention in areas such as the automotive industry. Because CFRTP is used as a structural element, it is usually drilled to allow connection to other parts. However, it is a difficult-to-cut material requiring the development of a high-accuracy, high-efficiency processing method. This study proposes high-feed-speed processing as a method that achieves high-quality drilling at low cost. The cutting temperature was estimated to verify the effect of the high-feed-speed processing method, and processing conditions that prevented delamination and burring were identified.

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Experimental Investigation of Fatigue Crack Growth in the Welding Nugget of FSW Joints of a 6060 Aluminum Alloy

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.488-489.343 ◽

2011 ◽

Vol 488-489 ◽

pp. 343-346 ◽

Cited By ~ 1

Author(s):

Paolo Marcassoli ◽

Michela Longo ◽

Gianluca D'Urso ◽

Claudio Giardini ◽

T. Pastore

Keyword(s):

Growth Rate ◽

Aluminum Alloy ◽

Fatigue Crack ◽

Crack Growth Rate ◽

Fatigue Crack Growth ◽

Crack Growth ◽

Base Material ◽

Speed Ratio ◽

Feed Speed ◽

High Feed

The work investigates the fatigue behavior of friction stir welded butt joints by means of fracture mechanics techniques. FSW joints of artificially aged AA6060 T6 aluminum alloy were studied. The welding was performed on 8 mm thick butt joined sheets by means of a CNC machine tool. Welding speed in the range between 117 and 683 mm/min and tool rotational speed between 838 and 1262 rpm were considered. Fatigue crack growth tests were performed according to ASTM E647 standard on CT specimens, under constant load amplitude conditions, at 0.1 minimum to maximum load ratio, with the notch placed in the dynamic recrystallization zone of weld nugget, oriented along the welding direction. The comparison of results demonstrates the crack growth rate is always equal or lower than the base material at low values of stress intensity range. At ΔK values above 12 MPa√m, crack growth rate was found to be higher than base material for high feed, low speed and high feed/speed ratio.

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10,000 km course in search of machine tools – a report from the Taipei International Machine Tool Show in Taiwan

Mechanik ◽

10.17814/mechanik.2017.5-6.55 ◽

2017 ◽

Vol 90 (5-6) ◽

pp. 366-371

Author(s):

Norbert Kępczak

Keyword(s):

Machine Tool ◽

Machine Tools ◽

Smart Manufacturing ◽

Machinery Industry

26th Taipei International Machine Tool Show – TIMTOS 2017 was held from 7 to 12 of March 2017. The keynote of this year show was “Smart Manufacturing”. The schedule included press conferences. Visitors were encouraged to get acquainted with the offers from production companies and to speak to the leading persons in Taiwan machinery industry.

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Special Issue on the Latest Machine Tool Technologies and Manufacturing Processes

International Journal of Automation Technology ◽

10.20965/ijat.2019.p0573 ◽

2019 ◽

Vol 13 (5) ◽

pp. 573-573 ◽

Cited By ~ 1

Author(s):

Yohichi Nakao ◽

Hayato Yoshioka

Keyword(s):

Internet Of Things ◽

Machine Tool ◽

Machine Tools ◽

Manufacturing Systems ◽

Tool Path ◽

Industrie 4.0 ◽

Smart Manufacturing ◽

Manufacturing Processes ◽

Special Issue ◽

Excellent Research

With the 2011 launch of Industrie 4.0, a German project aiming to promote the computerization of manufacturing, the integration of physical or actual manufacturing systems with cyber-physical systems (CPS) using various technologies, such as the Internet of things (IoT), industrial Internet of things (IIOT), and artificial intelligence, is considered to be more important than ever before. One of the goals of the Industrie 4.0 is to realize smart factories or smart manufacturing using advanced digital technologies. However, the core component in the manufacturing systems is still machine tools. This special issue, composed of eleven excellent research papers, focuses on the latest research advances in machine tools and manufacturing processes. It covers various topics, including machine tool control, tool path generation for multi-axis machining, and machine tool components. Furthermore, this special issue includes innovative machining technologies, including not only cutting and grinding processes but also the EDM process and burnishing process connected effectively with force control techniques. All the research contributions were presented at IMEC2018, a joint event with JIMTOF2018, held in Tokyo, Japan in 2018. The editors would like to sincerely thank the authors for their dedication and for their well written and illustrated manuscripts. We are also profoundly grateful for the efforts of all the reviewers who ensured their quality. Finally, we sincerely hope that studies on machine tools and related manufacturing technologies will further contribute to the development of our global society.

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Analisis Kekasaran Baja AISI 304 Akibat Variasi Parameter pada Proses Roughing CNC Turning Menggunakan Pahat Cermet

Jurnal Teknik Mesin dan Pembelajaran ◽

10.17977/um054v3i1p18-26 ◽

2020 ◽

Vol 3 (1) ◽

pp. 18

Author(s):

Nugroho Setyo Pambudi

Keyword(s):

Surface Roughness ◽

Engine Speed ◽

Descriptive Analysis ◽

Feed Speed ◽

Aisi 304 ◽

Analysis Techniques ◽

Spindle Rotation ◽

High Engine Speed ◽

High Feed ◽

Data Collection Technique

Abstract: This study aims to determine the surface roughness value of AISI 304 steel due to variations in spindle speed and feed motion. The method used is pre-experimental design and data analysis techniques used are descriptive analysis techniques. The spindle rotation speed used is 1990 rpm, 2100 rpm, and 2300 rpm, while the feed motion used is 0.18 mm / rev, 0.23 mm / rev, and 0.28 mm / rev. The cutting tool used in this study is a Mitsubishi brand insert chisel with ISO standard CNMNG120404-MA, while the data collection technique using a measuring tool to measure the surface roughness of the workpiece is the Surface Roughness Test Mitutoyo Portable Surftest SJ 301 series. The results of this study indicate that high engine speed reaches 2300 Rpm and low feed motion reaches 0.18 mm / rev resulting in low surface roughness levels reaching 2.17 µm. While the highest is obtained at low engine speed and high feed motion which reaches 1900 Rpm and 0.28 mm / rev with a surface roughness value of 4.43 µm.Keywords: Spindle rotation, feed speed, turning, CNC lathe, surface roughness.

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