2016 International Symposium on Flexible Automation (ISFA)

Conference Information
Name: 2016 International Symposium on Flexible Automation (ISFA)
Date: 2016-8-1 - 2016-8-3

Latest articles from this conference

Akihito Miyake, , Ayako Kitakaze, Seiko Katoh, Masahiro Muramatsu, Kenji Noguchi, Kazuhiko Sannomiya, Takaichi Nakaya
2016 International Symposium on Flexible Automation (ISFA) pp 356-358; https://doi.org/10.1109/isfa.2016.7790188

Low Frequency Vibration-cutting (LFV) is a new machining technology developed to solve problems with the turning process. Vibration applied to the servo shaft in the feed direction can be synchronized with the rotation spindle. This technology has the significant feature of discharging the chips intermittently, because it has “air-cutting” times during cutting. It also can handle a variety of machining types, and is therefore suitable for cutting difficult-to-cut materials. However, the mechanisms of LFV have not been fully investigated. Therefore, to clarify these mechanisms, cutting tests were conducted on SUS304 to evaluate cutting force, and to compare the cutting properties of LFV with that of conventional cutting (CC). The LFV showed improved effects in terms of a decrease in cutting force. (“LFV” is a registered trademark of Citizen Watch Co., LTD., Japan)
Shujuan Li, Jiabin Wang, Aofei Tang, Robert G. Landers
2016 International Symposium on Flexible Automation (ISFA) pp 127-132; https://doi.org/10.1109/isfa.2016.7790148

Wire saw machining is often used to cut hard and brittle materials, especially wafers in the semiconductor and optoelectronics industries. The cutting forces strongly effect part quality. Based on analyzing the forces generated from the chip deformation and friction of a single abrasive, an analytical force model is developed. The model is extended to a wire saw cutting force model and is used to explain the relationship between the cutting force and the part feed rate, wire velocity, and contact length between the wire and part. Silicon (Si) monocrystal machining is used to experimentally validate the proposed model. The results show that when machining Si monocrystal the average errors between the experimental and predicted normal and tangential cutting forces are 10.9% and 18.6%, respectively.
Suksant Pangsrivinij, James McGuffin-Cawley, Roger Quinn, Badri Narayanan, Shenjia Zhang, Paul Denney
2016 International Symposium on Flexible Automation (ISFA) pp 217-222; https://doi.org/10.1109/isfa.2016.7790164

Laser Hot-Wire (LHW) processing is a subset of freeform welding, which in turn is an extension of the well-established wire-based robotic cladding. The process is adaptable as a viable additive manufacturing (AM) technology. In LHW two separate heat sources are combined — a laser impinges on the surface of the workpiece and the feed wire is resistively heated through an external DC circuit. The two materials used in the experiments reported here are Ti-6Al-4V and Nickel 625. Advantages of the process are high deposition rate, high energy efficiency, and the ability to produced controlled unique microstructures. Preliminary calculations of energy efficiency and energy balance of the process are reported.
Yasuhiro Takaya, Masafumi Asahi
2016 International Symposium on Flexible Automation (ISFA) pp 366-369; https://doi.org/10.1109/isfa.2016.7790190

Currently, Cu-CMP is widely used as a key process technology for planarization of wiring layers in the copper dual-damascene process. To achieve planar surfaces for higher pattern densities the novel Cu-CMP technique that uses a slurry containing reactive nanoparticles such as fullerenol and ND-PG as abrasive grains has been developed. In this study, the in situ surface analysis method using the novel hybrid SERS is proposed to reveal the copper-reactive nanoparticle interaction during Cu-CMP. The hybrid SERS analysis method enables simultaneous measurement of Raman spectra enhanced by both propagating and localized surface plasmon. Using this method, the molecular-level interaction between the copper surface and reactive nanoparticles is investigated in a real time chemical process. Measuring a series of SERS Raman spectra changing with surface roughness, the role of C60(OH)36 in forming of a reacted thin film on the copper surface was suggested using a custom-built measurement system.
Bingbing Hu, Bing Li, Feng Ding
2016 International Symposium on Flexible Automation (ISFA) pp 108-115; https://doi.org/10.1109/isfa.2016.7790145

To improve the accuracy of bearing fault diagnosis, it is very important to extract weak features effectively from a noise signal. Mulitscale noise tuning stochastic resonance (MSTSR) has proved to be an extremely effective way for weak signal detection. However, the original MSTSR method, which is based on signal-to-noise ratio (SNR) index, requires some prior knowledge to select two key parameters (the cut-off wavelet decomposition level and the tuning parameter). To solve this problem, we present a modified kurtosis index for the MSTSR method in fault diagnosis of rolling element bearings. The proposed index can not only combine the advantages of kurtosis index and zero-crossing ratio but also enhance or weaken the impact degree of the zero-crossing ratio by correlation coefficient. Meanwhile, the adaptive approach gets rid of the requirement of any prior knowledge. The simulation and experimental results verify the proposed scheme is suitable for bearing fault diagnosis.
Z.Y. Liu, , Y.B. Guo, Z.Q. Liu
2016 International Symposium on Flexible Automation (ISFA) pp 422-427; https://doi.org/10.1109/isfa.2016.7790200

Tool wear progression is inevitable in precision cutting. However, the effect of tool wear on energy consumption at machine, spindle, and process levels is yet to understand. In this study, specific energy in dry milling of hardened AISI H13 was studied at the machine, spindle, and process levels. The effect of process parameters and tool wear progression on energy consumption at each level was investigated. The results indicated that tool wear progression only has a predominant influence on energy consumption at the process level but not the machine and spindle levels. Energy consumption at machine level can be described with a traditional empirical model effectively. However, the traditional model is incapable of predicting energy consumption at the process level. The investigation in energy consumption at different levels can help improve energy efficiency. Since energy consumption at the process level is responsible for chip formation and surface generation, the study of energy consumption at this level is critical to understanding and optimizing of a machining process.
Lingfei Mo, Chenyang Li, Xiujuan Xie
2016 International Symposium on Flexible Automation (ISFA) pp 141-144; https://doi.org/10.1109/isfa.2016.7790150

As the internet of things (IOT) develops, radio frequency identification (RFID), a key technology of IOT, is gaining more and more attention. In some manufacturing applications, such as the assembly line, the localization of the specific product is very important for the customized production. To improve the performance of the assembly line localization system, the method of using the phase of one RFID reader antenna is proposed. Note that the phase reflected by the tags is distance sensitive, which is able to locate the tags accurately. Through modeling analysis and experimental results on a motorized stage, it shows that the localization accuracy of using the phase reflected by the passive UHF RFID tags on the linear assembly line can meet the demand of the practical application.
Xu Guo, Nan Wu, Yunhan Luo, Zhe Chen, Xingwei Wang
2016 International Symposium on Flexible Automation (ISFA) pp 99-102; https://doi.org/10.1109/isfa.2016.7790143

Ultrasound generators have been studied for ultrasound non-destructive testing (NDT) and biomedical ultrasound imaging. Fiber-optic ultrasound generators, based on photoacoustic (PA) principle, are promising devices for these applications. Their compact sizes enable them to work in restricted space; the acoustic properties of the ultrasound signal can be easily tailored by the optical signal. This paper demonstrates a novel structure with which the ultrasound signal is generated on a side-polished fiber. The fiber was mounted on a steel plate and the ultrasound signal was detected on the back surface of the steel plate. The fiber's ability of generating ultrasound was verified and the distribution of the acoustic signal along the fiber was measured.
, Raunak Bhinge, David Dornfeld
2016 International Symposium on Flexible Automation (ISFA) pp 161-164; https://doi.org/10.1109/isfa.2016.7790153

Increasing awareness of energy consumption and its environmental impacts has prompted a need to better predict the energy consumption of various industrial processes, including manufacturing. Modeling can allow manufacturers to optimize the efficiency of their manufacturing processes. Highly accurate, data-driven models of energy consumption of CNC milling have been developed but these models are generated from experimental data and are not generally applicable. If any conditions are varied beyond the experimental parameter ranges, a data-driven model faces challenges in maintaining its prediction accuracy. In this work, two models based on the non-cutting power demand of the CNC machine and the specific cutting energy of the workpiece material are analyzed. These models are then used to predict milling energy consumption of several experimental parts. Both models predicted the total energy consumption of the experimental parts with an average relative total error of less than 3%, which is comparable to datadriven models. Unlike most models, the proposed models presented here can be applied to most workpiece materials.
Naoya Shimada, Noboru Nagashima, Keiichi Nakamoto
2016 International Symposium on Flexible Automation (ISFA) pp 247-250; https://doi.org/10.1109/isfa.2016.7790169

Multi-tasking machine tools have been increasing to shorten production time and improve productivity. It is indispensable for the operator of such machine tools to avoid collisions among the machine structures. In order to solve this problem, machine simulator is widely used before machining operations. In a commercial machine simulator, however, unexpected collisions often occur when the setup of a workpiece or a jig differs from the 3D models created in advance. Therefore, this study proposes a machine simulator utilizing 3D models created by measuring the shapes and positions of the workpiece and jig on the machine tools. In case the workpiece differs from the assumed one, it is needed to determine the suitable position and posture of target shape based on the obtained workpiece. As a result, this study deals with a method which determines the position and posture of target shape using the workpiece obtained by on-machine measurement.
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