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Blow Molding
The Experts below are selected from a list of 2400 Experts worldwide ranked by ideXlab platform
Wendy Rodriguezcastellanos – 1st expert on this subject based on the ideXlab platform
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extrusion Blow Molding of a starch gelatin polymer matrix reinforced with cellulose
European Polymer Journal, 2015Co-Authors: Wendy Rodriguezcastellanos, Fernando Martinezbustos, Denis Rodrigue, Magdalena TrujillobarraganAbstract:Abstract This work investigated the possibility of using hydrolyzed corn starch–gelatin as a base matrix and cellulose as reinforcement, to produce containers by extrusion Blow Molding. First, the compounds were characterized by dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) to determine their viscoelastic behavior and thermal stability. The results showed that the most suitable processing temperature should be less than 120 °C to avoid degradation. Furthermore, the addition of cellulose decreased the viscosity of the starch–gelatin polymer matrix allowing the compounds to be processed at temperatures as low as 100 °C. Then, parisons were obtained by extrusion Blow Molding and presented suitable processing characteristics. Overall, the best containers were found to have 44% higher energy at break and better dimensional stability when cellulose was added.
Magdalena Trujillobarragan – 2nd expert on this subject based on the ideXlab platform
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extrusion Blow Molding of a starch gelatin polymer matrix reinforced with cellulose
European Polymer Journal, 2015Co-Authors: Wendy Rodriguezcastellanos, Fernando Martinezbustos, Denis Rodrigue, Magdalena TrujillobarraganAbstract:Abstract This work investigated the possibility of using hydrolyzed corn starch–gelatin as a base matrix and cellulose as reinforcement, to produce containers by extrusion Blow Molding. First, the compounds were characterized by dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) to determine their viscoelastic behavior and thermal stability. The results showed that the most suitable processing temperature should be less than 120 °C to avoid degradation. Furthermore, the addition of cellulose decreased the viscosity of the starch–gelatin polymer matrix allowing the compounds to be processed at temperatures as low as 100 °C. Then, parisons were obtained by extrusion Blow Molding and presented suitable processing characteristics. Overall, the best containers were found to have 44% higher energy at break and better dimensional stability when cellulose was added.
Ching-chih Tsai – 3rd expert on this subject based on the ideXlab platform
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Digital command feedforward and PID temperature control for PET stretch Blow Molding machines
2017 11th Asian Control Conference (ASCC), 2017Co-Authors: Ching-chih Tsai, Chia-ta TsaiAbstract:In this paper, a novel but simple control method using command feedforward and feedback PID control, or called two degrees-of-freedom (Two-DOF) control, is presented for temperature control of a stretch polyethylene terephthalate (PET) Blow Molding machine. To achieve required temperature control of PET bottle performs passing through both heating ovens, our proposed controller consists of a digital command-feedforward controller designed to improve the transient performance and track quickly temperature set-points, and a digital feedback proportional-integral-derivative (PID) controller proposed to eliminate temperature errors and accomplish disturbances rejection. Such a controller not only carries out precise temperature setpoint tracking under any arbitrary ambient environment, but also uses the practical expertise of the control practitioners working for PET Blow Molding machines. Excellent set-point tracking and disturbance rejection of the proposed control method are well illustrated by computer simulations and experimental results. The results also clearly show applicability and superiority of the proposed method in comparison with other existing controllers.
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Two DOF temperature control using RBFNN for stretch PET Blow Molding machines
2014 IEEE International Conference on Systems Man and Cybernetics (SMC), 2014Co-Authors: Ching-chih Tsai, Ya-ling Chang, Shun-liang TungAbstract:This paper presents a novel two degrees-of-freedom (DOF) digital controller using radial basis function neural network (RBFNN) for a stretch polyethylene-terephthalate (PET) Blow Molding machine, in order to achieve satisfactory temperature control of the PET bottle performs passing through both heating ovens. The proposed two-DOF controller is composed of a feedforward controller used to improve the transient performance and track quickly temperature setpoints, and an RBFNN self-tuning digital proportional-integral- derivative (PID) controller employed to eliminate remaining temperature errors and achieve disturbances rejection. Such a controller not only retains the practical expertise of the control practitioners working for PET Blow Molding machines, but also keeps automatic tuning ability of the PID controller parameters. Finally, the computer simulation and experimental result reveal disturbance rejection and good setpoint tracking performance of the proposed control method. The results clearly indicate effectiveness and merit of the proposed method.
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Stochastic adaptive predictive temperature control for PET Blow Molding machines
2010 5th IEEE Conference on Industrial Electronics and Applications, 2010Co-Authors: Ya-ling Chang, Ching-chih TsaiAbstract:This paper presents a stochastic adaptive model reference predictive control (SMRPC) approach to achieving accurate temperature control for a polyethylene-terephthalate (PET) Blow Molding machine, which is experimentally modeled as a simple second-order system model with given long time delay. Based on this model, the adaptive model reference predictive controller with control weighting is derived based on the minimization of an expected generalized predictive control (GPC) performance criteria. A real-time adaptive SMRPC algorithm is proposed. Computer simulations show that the proposed control method is capable of giving accurate and satisfactory control performance under set-point changes and exogenous disturbances.