Energy efficiency in extrusion-related polymer processing: A review of state of the art and potential efficiency improvements

Abstract Energy saving and industrial pollution have become increasingly important issues, therefore the identification and adoption of more energy efficient machines and industrial processes are now industrial priorities, and worthy topics for further development through academic research. Polymeric materials are a major raw material, finding widespread application to a range of current industrial machine components as well as multiple products and packaging found in our daily life. Polymer extrusion serves as a particular example of polymer processing techniques, representative of others in as much as there are analogous intermediate stages in the processing. Processing techniques which require such intermediate stages include the manufacture of blown film, blow moulding, thermo-forming, and injection moulding. Hence, the study of polymer extrusion is a representative paradigm for a wider range of processing techniques. Since polymer processing is an energy intensive process and accounts for a huge share (maybe more than 1/3) of the materials processing sector, any improvement to the process would contribute significantly to global energy savings. This work presents a review of studies, which focus on, or appertain to, the energy consumption of extrusion related polymer processing applications. Typical energy demand and losses during processing are considered, and possible approaches for improving the process energy efficiency while maintaining the required end product quality are considered. Overall, this work provides a detailed discussion about how and where energy is utilised; how, where and why energy losses occur; and sets out approaches for optimising the process energy efficiency.

[1]  Alison Jane Mcmillan,et al.  A non-linear friction model for self-excited vibrations , 1997 .

[2]  Elizabeth F. Wanner,et al.  Feedback-control operators for improved Pareto-set description: Application to a polymer extrusion process , 2015, Eng. Appl. Artif. Intell..

[3]  C. Abeykoon,et al.  The effect of materials' rheology on process energy consumption and melt thermal quality in polymer extrusion , 2020 .

[4]  Z. Tadmor,et al.  Fundamentals of plasticating extrusion. I. A theoretical model for melting , 1966 .

[5]  Stress concentration in polymer extrusion dies , 2011 .

[6]  Jing Deng,et al.  A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion , 2011 .

[7]  Bill Drury,et al.  The Control Techniques Drives and Controls Handbook , 2009 .

[8]  Z. Tadmor,et al.  Principles of Polymer Processing , 1979 .

[9]  Shih-Hsuan Chiu,et al.  Proposal of an empirical viscosity model for quality control in the polymer extrusion process , 2003 .

[10]  Krzysztof Wilczynski A Computer Model for Single-Screw Plasticating Extrusion , 1996 .

[11]  Kyung-Sup Kwak,et al.  The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.

[12]  Guoqun Zhao,et al.  Continuous modeling and simulation of flow-swell-crystallization behaviors of viscoelastic polymer melts in the hollow profile extrusion process , 2015 .

[13]  D. E. McCLELLAND,et al.  Energy Efficiency in Plasticating Screw Extrusion , 1979 .

[14]  Rob Boom,et al.  Recycling of composite materials , 2012 .

[15]  Stephen Thompson,et al.  A novel approach to dynamic modelling of polymer extrusion for improved process control , 2007 .

[16]  Marion McAfee,et al.  Real-time measurement of melt viscosity in single-screw extrusion , 2006 .

[17]  Jeffrey K. Liker,et al.  The Toyota way : 14 management principles from the world's greatest manufacturer , 2004 .

[18]  Chamil Abeykoon,et al.  A Novel Model-Based Controller for Polymer Extrusion , 2014, IEEE Transactions on Fuzzy Systems.

[19]  Z. Tadmor,et al.  The Formulation of a Mathematical Model for Plasticating Screw Extrusion , 1969 .

[20]  Makbul Anwari,et al.  Power Quality Measurements of a DC Motor Drive , 2008 .

[21]  Yun Li,et al.  Energy-efficient through-life smart design, manufacturing and operation of ships in an industry 4.0 environment , 2017 .

[22]  S. P. Sabberwal,et al.  Power factor measurement and correction techniques , 1995 .

[23]  R. Braatz,et al.  Instabilities and multiplicities in non-isothermal blown film extrusion including the effects of crystallization , 2011 .

[24]  Jing Deng,et al.  ‘Soft-sensor’ for real-time monitoring of melt viscosity in polymer extrusion process , 2010, 49th IEEE Conference on Decision and Control (CDC).

[25]  Kang Li,et al.  Dynamic modelling of die melt temperature profile in polymer extrusion , 2013, IEEE Conference on Decision and Control.

[26]  H. Falkner Energy Cost Savings in Motive Power , 1997 .

[27]  Kang Li,et al.  Dynamic gray-box modeling for on-line monitoring of polymer extrusion viscosity , 2012 .

[28]  Peter Martin,et al.  The inferential monitoring of screw load torque to predict process fluctuations in polymer extrusion , 2011 .

[29]  Marion McAfee,et al.  Enhancing process insight in polymer extrusion by grey box modelling , 2007 .

[30]  A. K. Wood,et al.  Effect of process variables on melt velocity profiles in extrusion process using single screw plastics extruder , 2003 .

[31]  Phil Coates,et al.  Thermal optimisation of polymer extrusion using in-process monitoring techniques , 2013 .

[32]  E. Severs Rheology of Polymers , 1962 .

[33]  Phil Coates,et al.  Energy monitoring and quality control of a single screw extruder , 2014 .

[34]  Imrich Klein,et al.  Engineering principles of plasticating extrusion , 1970 .

[35]  C. Abeykoon,et al.  The Effect of Materials, Process Settings and Screw Geometry on Energy Consumption and Melt Temperature in Single Screw Extrusion , 2016 .

[36]  A. Isayev,et al.  Effect of ultrasonic waves on foam extrusion , 1991 .

[37]  M. J. Stevens,et al.  Extruder principles and operation , 1985 .

[38]  Daniel A. Tortorelli,et al.  Optimal design for polymer extrusion. Part II: Sensitivity analysis for weakly-coupled nonlinear steady-state systems , 1998 .

[39]  J. P. Ibar,et al.  Control of polymer properties by melt vibration technology: A review , 1998 .

[40]  John M. Dealy,et al.  Energy conservation in plastics processing: A review , 1982 .

[41]  Gary A. Montague,et al.  Neural networks for steady state modelling of an extruder , 1997, Artif. Intell. Eng..

[42]  Daniel A. Tortorelli,et al.  Optimal design for polymer extrusion. Part I : Sensitivity analysis for nonlinear steady-state systems , 1998 .

[43]  Kang Li,et al.  Process efficiency in polymer extrusion: Correlation between the energy demand and melt thermal stability , 2014 .

[44]  F. Zaïri,et al.  Numerical modelling of elastic–viscoplastic equal channel angular extrusion process of a polymer , 2006 .

[45]  Feng Ying Lin Smoothed particle hydrodynamics , 2005 .

[46]  Minrui Fei,et al.  Low-cost process monitoring for polymer extrusion , 2014 .

[47]  B. Nguyen,et al.  Automatic extruder for processing recycled polymers with ultrasound and temperature control system , 2016 .

[48]  Chamil Abeykoon,et al.  A Novel Soft Sensor for Real-Time Monitoring of the Die Melt Temperature Profile in Polymer Extrusion , 2014, IEEE Transactions on Industrial Electronics.

[49]  Barry Lennox,et al.  Extruder modelling: a comparison of two paradigms , 1996 .

[50]  R. Armstrong,et al.  Nonlinear dynamics of viscoelastic flow in axisymmetric abrupt contractions , 1991, Journal of Fluid Mechanics.

[51]  Y. Son,et al.  Determination of shear viscosity and shear rate from pressure drop and flow rate relationship in a rectangular channel , 2007 .

[52]  R.M. Green A comparison of AC and DC extruder drives , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[53]  O. C. Zienkiewicz,et al.  The Finite Element Method: Its Basis and Fundamentals , 2005 .

[54]  Guoqun Zhao,et al.  Modeling and simulation of polymer melts flow in the extrusion process of plastic profile with metal insert , 2013 .

[55]  Kaushik Bhattacharjee,et al.  Energy Conservation Opportunities in industrial Waste Heat Recovery Systems , 2010 .

[56]  László Halász Control Methods in Polymer Processing , 1993 .

[57]  Huilin Li,et al.  Physical and chemical effects of ultrasound vibration on polymer melt in extrusion. , 2010, Ultrasonics sonochemistry.

[58]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.

[59]  A. Ryan,et al.  Polymer Processing and Structure Development , 1998 .

[60]  James M. McKelvey Energy utilization in extrusion , 1983 .

[61]  Theodore Wildi,et al.  Electrical Machines, Drives, and Power Systems , 1990 .

[62]  J. M. McKelvey,et al.  Power Requirements of Melt Extruders , 1953 .

[63]  D. Benson Computational methods in Lagrangian and Eulerian hydrocodes , 1992 .

[64]  G. Seliger,et al.  Opportunities of Sustainable Manufacturing in Industry 4.0 , 2016 .

[65]  Yves Bereaux,et al.  A simple model of throughput and pressure development for single screw , 2009 .

[66]  R. A. Sfeir Measured Savings of DC to AC Drive Retrofit in Plastic Extrusion , 2008 .

[67]  Ray Y. Zhong,et al.  Intelligent Manufacturing in the Context of Industry 4.0: A Review , 2017 .

[68]  E. C. Brown,et al.  The effect of screw geometry on melt temperature profile in single screw extrusion , 2006 .

[69]  Chamil Abeykoon,et al.  Investigation of torque fluctuations in extrusion through monitoring of motor variables , 2009 .

[70]  Guoqun Zhao,et al.  Numerical investigation of the thermally and flow induced crystallization behavior of semi-crystalline polymers by using finite element-finite difference method , 2012, Comput. Chem. Eng..

[71]  Jing Deng,et al.  Modelling the Effects of Operating Conditions on Motor Power Consumption in Single Screw Extrusion , 2010, LSMS/ICSEE.

[72]  Huilin Li,et al.  Influence of ultrasound on the processing and structure of polypropylene during extrusion , 2002 .

[73]  Joaquín B. Ordieres Meré,et al.  Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[74]  Eugene Lai,et al.  Modeling of the plasticating process in a single‐screw extruder: A fast‐track approach , 2000 .

[75]  Khai Lun Ong,et al.  Recent Trends in Green and Sustainable Chemistry & Waste Valorisation: Rethinking Plastics in a circular economy , 2018 .

[76]  Phil Coates,et al.  Investigation of the process energy demand in polymer extrusion: A brief review and an experimental study , 2014 .

[77]  Jing Deng,et al.  Modelling the Effects of Operating Conditions on Die Melt Temperature Homogeneity in Single Screw Extrusion , 2010 .

[78]  M. Graham Wall slip and the nonlinear dynamics of large amplitude oscillatory shear flows , 1995 .