Niigata Machine Techno CO.

Higashimurayama-shi, Japan

Niigata Machine Techno CO.

Higashimurayama-shi, Japan
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Iwasawa S.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Yokokura Y.,Nagaoka University of Technology | Miyazaki T.,Nagaoka University of Technology | And 2 more authors.
10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 | Year: 2015

Injection molding is a common method for producing various resin products. The force control system of a typical injection molding machine obtains information about the force from the environment of the machine via a force sensor. However, because a force sensor often has disadvantages such as signal noise, high cost, and narrow bandwidth, a reaction force observer has been developed for electric injection molding machines. The high-order reaction force observer (HORFO) is developed which includes a friction compensation element and uses the dither signal insertion method. However, the static frictional force and dynamic friction force have been not considered in this reaction force estimation observer, and accurate force control is difficult because of estimation error. In this paper, we propose a new friction model that takes into account the stribeck effect in order to improve the estimation error problem in force sensorless estimation. In addition the effectiveness of the proposed method is investigated in actual experiments using an injection molding machine. © 2014 IEEE.


Furusawa R.,Nagaoka University of Technology | Asai T.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Majima K.,Niigata Machine Techno CO. | And 2 more authors.
IECON Proceedings (Industrial Electronics Conference) | Year: 2010

Currently, most plastic products are manufactured using injection molding machines. The quality of plastic products depends largely on the injection force. in a typical force control system of an injection molding machine, force information from the machine environment is obtained by a force sensor. However, force sensors have a few disadvantages in terms of signal noise, sensor cost, narrow bandwidth, etc. We have proposed the use of a reaction force observer based on the two-inertia resonant model. However, this method has some estimated error because of the influence of nonlinear characteristics of the holding process and the screw back-pressure process. The estimation accuracy of the reaction force observer depends on parameter variations and the non-linear friction phenomenon. This paper proposes a new injection force estimation method based on a proposed high-order reaction force observer, which is not influenced by the nonlinear friction phenomenon significantly. This paper evaluates the effectiveness and the sensorless feedback control of the proposed method through experiments. © 2010 IEEE.


Furusawa R.,Nagaoka University of Technology | Asai T.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Majima K.,Niigata Machine Techno CO. | And 2 more authors.
IEEJ Transactions on Industry Applications | Year: 2011

Currently, most of the plastic products are manufactured by using injection molding machines. The quality of the products depends largely on the injection force. In a typical force control system of an injection molding machine, the information about the force in the machine environment is obtained by a force sensor. However, force sensors have a few disadvantages such as signal noise, high sensor cost and narrow bandwidth. We have proposed the use of a reaction force observer based on the two-inertia resonant model. However, this method has some estimated error caused by a static friction in the holding process and a Coulomb friction in the screw back-pressure process. The estimation accuracy of the reaction force observer depends on parameter variations and the non-linear friction phenomenon. This paper proposes a new injection-force-estimation method based on the proposed high-order reaction force observer (HORFO), which is not influenced significantly by the nonlinear friction phenomenon. The effectiveness of the proposed method is confirmed by experimental results. © 2011 The Institute of Electrical Engineers of Japan.


Furusawa R.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno CO. | Takatsu M.,Niigata Machine Techno CO.
Proceedings - ISIE 2011: 2011 IEEE International Symposium on Industrial Electronics | Year: 2011

Currently, most plastic products are manufactured by using injection molding machines. The quality of plastic products depends largely on the injection force. In a typical force control system of an injection molding machine, force information from the machine environment is obtained by a force sensor. However, force sensors have a few disadvantages in terms of signal noise, sensor cost and narrow bandwidth. So, a sensor-less force detection method is desirable for electric injection molding machines. We have proposed the use of a reaction force observer based on the two-inertia resonant model. However, this method has some estimated error because of the influence of nonlinear characteristics of the holding process and the screw back-pressure process. This paper proposes a new injection force estimation method based on a proposed high-order reaction force observer (HORFO), which is not influenced by the nonlinear friction phenomenon significantly. This paper evaluates the possibility and versatility of the proposed sensor-less force control system by using proposed HORFO through experiments. © 2011 IEEE.


Furusawa R.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Iwazaki K.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno Co. | Takatsu M.,Niigata Machine Techno Co.
IEEJ Transactions on Industry Applications | Year: 2013

Currently, most plastic products are manufactured using injection molding machines. In the force control system of a typical injection molding machine, the force information from the machine's environment is obtained using a force sensor. However, these sensors have several disadvantages, which include signal noise, sensor cost, and a narrow bandwidth. Thus, sensorless force detection methods are desirable. We have previously proposed a new injection force estimation method based on a high-order reaction force observer (HORFO), which is not significantly influenced by a nonlinear friction phenomenon. In this paper, a dual HORFO is proposed to improve the estimation accuracy of the HORFO. However, this method needs both a long calculation time and a large CPU memory. To overcome this problem, an automatic parameter-switching reaction force observer (APS-RFO) is proposed to improve the estimation accuracy of the HORFO. Moreover, this study evaluates the possibility of a sensorless force control system using the proposed APS-RFO. © 2013 The Institute of Electrical Engineers of Japan.


Furusawa R.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno Co. | Takatsu M.,Niigata Machine Techno Co.
International Workshop on Advanced Motion Control, AMC | Year: 2012

Currently, most plastic products are manufactured using injection molding machines. The quality of products produced this way depends largely on the injection force. In the force control system of a typical injection molding machine, force information from the machine's environment is obtained by a force sensor. However, these sensors have several disadvantages, which include signal noise, sensor cost, and a narrow bandwidth. Thus, sensorless force detection methods are desirable. The use of a reaction force observer, based on the two-inertia resonant model, has been proposed. However, this method is inaccurate due to the influence of nonlinear friction phenomenon. We have previously proposed a new injection force estimation method based on a high-order reaction force observer (HORFO), which is not significantly influenced by the nonlinear friction phenomenon. In this paper, an automatic parameter-switching HORFO (APS-RFO) is proposed to improve the estimation accuracy of HORFO. Moreover, this paper evaluates the possibility of a sensorless force control system using the proposed APS-RFO. © 2012 IEEE.


Iwazaki K.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Yokokura Y.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno CO. | Takatsu M.,Niigata Machine Techno CO.
IECON Proceedings (Industrial Electronics Conference) | Year: 2013

The force control system of a typical injection molding machine obtains force information from the machine's environment via a force sensor. However, because of Force sensors often have disadvantages such as signal noise, high cost, and a narrow bandwidth, a reaction force observer was developed for electric injection molding machines. This method has a steady-state error owing to the influence of nonlinear friction. We realized sensorless force feedback control based on a friction compensation element, dither signal inserting method, and high order reaction force observer (HORFO). The HORFO does not influence either the inserted dither signal or the nonlinear friction phenomenon. However, as the desired parameters of the HORFO cannot be fixed at each driving point, the sensorless force feedback control method cannot always be used for fine pressure control. To overcome this problem, we propose new sensorless force control system based on HORFO in this paper. Experimental results confirmed the robustness of the proposed sensorless force control system. © 2013 IEEE.


Iwazaki K.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Yokokura Y.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno CO. | Takatsu M.,Niigata Machine Techno CO.
International Workshop on Advanced Motion Control, AMC | Year: 2014

Injection molding is a common method for producing various resin products. The quality of the product significantly depends on the injection force. The accurate detection of the force is therefore very important to achieving in stable high-quality molding. The force control system of a typical injection molding machine obtains information about the force from the environment of the machine via a force sensor. However, because a force sensor often has disadvantages such as signal noise, high cost, and narrow bandwidth, a reaction force observer has been developed for electric injection molding machines. The high-order reaction force observer (HORFO) includes a friction compensation element and uses the dither signal insertion method. Although it neither affects the inserted dither signal nor the nonlinear friction phenomenon, steady-state errors remain in the pressure holding process because the torque transmission losses in the mechanical structures are not considered. In this paper, we propose a new Friction-Free Observer. We experimentally confirm the estimation performance of the proposed Friction-Free Observer using different driving points. © 2014 IEEE.


Asai T.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Urushihara S.,Nagaoka University of Technology | Ohba Y.,Sendai National College of Technology | And 2 more authors.
International Workshop on Advanced Motion Control, AMC | Year: 2010

Recently, many of plastic products are mostly manufactured using injection molding machines. The quality of plastic products depends on the injection force. In a general force control system of the injection molding machine, the force information from the environment is detected by a force sensor. However, the force sensors present problems related to signal noise, sensor cost, narrow bandwidth, and other factors. We have proposed the reaction torque observer using two-inertia resonant model in our previous works. In the conventional estimation method, some estimated error causes at the pressure keeping process and the backing pressure process by the influence of nonlinear characteristics. The estimation accuracy of the state observer depends on the system identification because the actual system has the parameter variation and non-linear friction phenomenon. In this paper, we propose the new estimation method in which the influence of nonlinear factor is considered for high performance sensor-less force control. The effectiveness of the proposed method is confirmed by the simulation and experimental results. © 2010 IEEE.


Patent
Japan National Institute of Advanced Industrial Science, Technology and Niigata Machine Techno Co. | Date: 2011-12-14

A high-shear melt-kneader includes a high-shear unit (20) having an internal feedback-type screw (23) configured to apply high-shear stress to a melted resin, resin pressure sensors (33) for configured to detect a front portion resin pressure in the vicinity of an inlet of the internal feedback-type screw and a rear portion resin pressure in the vicinity of an outlet, and a control device configured to appropriately control a material supplying amount, a material temperature, a kneading time, and a screw rotation speed according to pressure values detected by the sensors. The control device controls the conditions such that waveforms with the lapse of time of the front and rear portion resin pressures are similar to each other and show variation to a steady state after formation of a predetermined peak value, and the front and rear portion resin pressures form a predetermined pressure difference with the lapse of time. According to the high-shear melt-kneader, it is possible to improve high-shear efficiency, increase precision of nano dispersion of a material, and stably and finely disperse/mix internal structures of immiscible polymer blend-based, polymer/filler-based and polymer blend/filler-based materials to a nano level.

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