No / An infrared temperature sensor has been used to provide real time quantification of the thermal homogeneity of polymer extrusion. The non-intrusive sensor was located in the barrel of a single screw extruder, positioned such that it provided a measurement of melt temperature in the channel of the metering section of the extruder screw. The rapid response of the technique enabled melt temperature within the extruder screw channel to be monitored in real time, allowing quantification of the thermal stability of the extrusion process. Two polyethylenes were used in experiments with three extruder screw geometries at a range of screw speeds. Data generated by the infrared sensor was found to be highly sensitive to thermal fluctuations relating to the melting performance of the extruder screw. Comparisons made with an intrusive thermocouple grid sensor located in the extruder die suggested that the infrared technique was able to provide a similar level of information without disturbing the process flow. This application on infrared thermometry could prove highly useful for industrial extrusion process monitoring and optimization.

La luzerne est une plante fourragère, de la famille des Fabacées, largement cultivée en France du fait de sa richesse en protéines. Industriellement, cette plante est pressée, puis séchée sur tambour rotatif. L’étape de pressage conduit à l’obtention de grandes quantités de jus, lui aussi riche en protéines. L’objectif de cette thèse a été de développer un procédé de bioraffinerie de la luzerne, applicable aux autres plantes fourragères, permettant la valorisation des toutes les fractions de la plante. La première étape consiste en un fractionnement thermo-mécanique de la luzerne entière par extrusion bi-vis. Deux fractions sont obtenues : un résidu fibreux solide en partie déshydraté, pouvant être utilisé dans la filière agro-matériaux, et un filtrat vert, riche en protéines. L’extrusion bi-vis est une alternative intéressante aux procédés classiques de déshydratation, car l’étude de l’optimisation des paramètres d’extrusion a permis de montrer qu’il est possible de récupérer la grande majorité des protéines de la plante dans le filtrat. Ce filtrat subit par la suite une séparation liquide/solide par centrifugation, permettant la récupération d’un culot vert, dont on peut extraire la chlorophylle. Le jus clarifié est ultrafiltré, puis traité par chromatographie hydrophobe, avec l’huile de tournesol comme solvant extracteur, de manière à séparer différentes protéines. L’étude plus fondamentale de la fixation des protéines sur résine a permis de modéliser le fractionnement des protéines par interactions hydrophobes. / Alfalfa is a common Legume, cultivated as a forage crop, thanks to its high protein content. In the green crop industry, alfalfa is pressed and dried on a rotative cylinder. The pressing step leads to the production of large amounts of green juice, rich in proteins. The aim of this work was to develop a biorefinery process for alfalfa, which could be adapted to other green crops, allowing the valorization of each fraction. The first step is the whole plant thermo-mechanical fractionation in the twin-screw extruder. Two fractions are obtained: a solid fibrous residue, partly dehydrated which could be valorized as an agro-material, and a green filtrate, rich in proteins. Twin-screw extrusion is an interesting alternative to usual industrial dehydration processes. Indeed, the study of the extruder parameters optimization showed that most of the alfalfa proteins can be recovered in the filtrate. This green extract is then centrifuged, in order to separate the solid particles. Chlorophyll can be extracted from the centrifugation pellet. The clarified juice is treated by ultrafiltration, and lastly fractionated thanks to hydrophobic chromatography, with sunflower oil as the solvent, in order to separate the proteins. The more fundamental study of proteins fixation on resins allowed us to modelize proteins fractionation using hydrophobic interactions.

Melt granulation is a versatile process that is underutilized in the pharmaceutical industry. Most pharmaceutical wet granulation and twin-screw extruders can be adapted for melt granulation. Twin-screw melt granulation (TSMG) is of interest since is a continuous process and allows for flexible process design and a high degree of control. TSMG can be used to produce formulations for oral immediate or sustained release. This research focuses on the use of TSMG to taste-mask APIs. Many APIs are bitter or unpleasant tasting. Taste-masking may be required, particularly for products intended for pediatric patients. Taste-masking has been achieved with many different techniques, but a simple, cost-effective method that can be applied to many different APIs is not currently available. A matrix encapsulation approach using continuous twin-screw melt granulation was attempted with three different APIs. The resulting granule properties, particularly particle size, are related to the granulation process parameters. Prediction of taste-masking based on in vitro assessments is challenging and generally clinical evaluation is required. A small-volume dissolution method was developed as a screening test the melt granules. It is not clear if this technique is predictive of clinical taste-masking performance, but it is expected to be an improvement over discrete sampling or typical quality control dissolution methods. The dissolution rate was estimated using the Noyes-Whitney equation and correlated to the mean granule particle size. From this, a simple model for time to a taste threshold could be used to define a design space around the granulation process. / Pharmaceutical Sciences

No / Mechanochemistry provides a method to reduce or eliminate the use of solvents by carrying out reactions through the grinding of neat reagents. Until recently a significant drawback of this form of synthesis has been the limited ability to scale up. However, it has been shown that twin screw extrusion (TSE) may overcome this problem as demonstrated in the continuous synthesis of co-crystals, Metal Organic Frameworks (MOFs) and Deep Eutectic Solvents (DES), in multi kg h−1 quantities. TSE has provided a means to carry out mechanochemical synthesis in a continuous, large scale and efficient fashion, which is adaptable to a manufacturing process. Herein, we highlight the potential of this technique for organic synthesis by reporting four condensation reactions, the Knoevenagel condensation, imine formation, aldol reaction and the Michael addition, to produce analytically pure products, most of which did not require any post synthetic purification or isolation. Each reaction was carried out in the absence of solvents and the water byproduct was conveniently removed as water vapour during the extrusion process due to the elevated temperatures used. Furthermore, the Knoevenagel condensation has been studied in detail to gain insight into the mechanism by which these mechanochemical reactions proceed. The results point to effective wetting of one reactant by another as being critical for these reactions to occur under these reaction conditions. / EPSRC EP/L019655/1

Ce projet vise à développer un nouveau procédé de fabrication de nanofibrilles de cellulose (NFC) à fort taux de matière sèche et en consommant peu d’énergie. L’extrusion bi-vis, technique industrielle, efficace énergétiquement et facilement adaptable fut ainsi utilisée pour produire des NFC à 20%. En diminuant considérablement la teneur en eau, cette nouvelle stratégie permet de diminuer le coût du transport, d’améliorer le stockage et d’élargir leur domaine d’application. Ce travail a consisté (i) à développer de nouveaux prétraitements chimiques des fibres de celluloses, respectueux de l’environnement pour faciliter la fibrillation de la cellulose et produire des NFC fonctionnelles de qualité, (ii) à optimiser les conditions d’extrusion ainsi que le profil de vis et (iii) à préparer des matériaux à partir de cette nouvelle matière. Quatre prétraitements chimiques ont été identifiés comme facilement industrialisables et ensuite optimisés. La nanofibrillation par extrusion a été ensuite simulée par un logiciel pour obtenir des conditions d’extrusion optimisées. La production de NFC de qualité à l’échelle semi-industrielle a été validée. Différentes applications ont été envisagées pour ces nouvelles NFC à fort taux de matière sèche. / This project aims at developing a new process to produce high solid content cellulose nanofibrils (CNF) decreasing the energy consumption and preserving the high quality compared to classic processes. Twin screw extrusion (TSE), industrially well-known, energy efficient and highly adaptable technique, was optimized to produce CNF at 20 wt% solid content. By decreasing considerably the water content, this new strategy improves the transport cost, the storage and widening the field of application and formulation. The objectives were to (i) develop new green pretreatments of cellulose fibers to facilitate the fibrillation and produce high quality functionalized CNF, (ii) optimize TSE screw profile and conditions to produce CNF and (iii) prepare new materials made of this new type of CNF. Four chemical pretreatments of cellulose fibers have been identified as industrially feasible, leading to high quality functionalized CNF and were widely studied and optimized. The nanofibrillation by TSE was simulated using a simulation software and TSE conditions were then successfully optimized. This cost-effective approach was validated at semi-industrial scale. Finally, different new applications with this new grade of CNF were considered.

Co-rotating twin-screw extruders are unique and versatile machines that are used widely in the plastics and food processing industries. Due to the large number of operating variables and design parameters available for manipulation and the complex interactions between them, it cannot be claimed that these extruders are currently being optimally utilised. The most significant improvement to the field of twin-screw extrusion would be through the provision of a generally applicable dynamic process model that is both computationally inexpensive and accurate. This would enable product design, process optimisation and process controller design to be performed cheaply and more thoroughly on a computer than can currently be achieved through experimental trials. This thesis is divided into three parts: dynamic modelling, measurement and control. The first part outlines the development of a dynamic model of the extrusion process which satisfies the above mentioned criteria. The dynamic model predicts quasi-3D spatial profiles of the degree of fill, pressure, temperature, specific mechanical energy input and concentrations of inert and reacting species in the extruder. The individual material transport models which constitute the dynamic model are examined closely for their accuracy and computational efficiency by comparing candidate models amongst themselves and against full 3D finite volume flow models. Several new modelling approaches are proposed in the course of this investigation. The dynamic model achieves a high degree of simplicity and flexibility by assuming a slight compressibility in the process material, allowing the pressure to be calculated directly from the degree of over-fill in each model element using an equation of state. Comparison of the model predictions with dynamic temperature, pressure and residence time distribution data from an extrusion cooking process indicates a good predictive capability. The model can perform dynamic step-change calculations for typical screw configurations in approximately 30 seconds on a 600 MHz Pentium 3 personal computer. The second part of this thesis relates to the measurement of product quality attributes of extruded materials. A digital image processing technique for measuring the bubble size distribution in extruded foams from cross sectional images is presented. It is recognised that this is an important product quality attribute, though difficult to measure accurately with existing techniques. The present technique is demonstrated on several different products. A simulation study of the formation mechanism of polymer foams is also performed. The measurement of product quality attributes such as bulk density and hardness in a manner suitable for automatic control is also addressed. This is achieved through the development of an acoustic sensor for inferring product attributes using the sounds emanating from the product as it leaves the extruder. This method is found to have good prediction ability on unseen data. The third and final part of this thesis relates to the automatic control of product quality attributes using multivariable model predictive controllers based on both direct and indirect control strategies. In the given case study, indirect control strategies, which seek to regulate the product quality attributes through the control of secondary process indicators such as temperature and pressure, are found to cause greater deviations in product quality than taking no corrective control action at all. Conversely, direct control strategies are shown to give tight control over the product quality attributes, provided that appropriate product quality sensors or inferential estimation techniques are available.

Co-rotating twin-screw extruders are unique and versatile machines that are used widely in the plastics and food processing industries. Due to the large number of operating variables and design parameters available for manipulation and the complex interactions between them, it cannot be claimed that these extruders are currently being optimally utilised. The most significant improvement to the field of twin-screw extrusion would be through the provision of a generally applicable dynamic process model that is both computationally inexpensive and accurate. This would enable product design, process optimisation and process controller design to be performed cheaply and more thoroughly on a computer than can currently be achieved through experimental trials. This thesis is divided into three parts: dynamic modelling, measurement and control. The first part outlines the development of a dynamic model of the extrusion process which satisfies the above mentioned criteria. The dynamic model predicts quasi-3D spatial profiles of the degree of fill, pressure, temperature, specific mechanical energy input and concentrations of inert and reacting species in the extruder. The individual material transport models which constitute the dynamic model are examined closely for their accuracy and computational efficiency by comparing candidate models amongst themselves and against full 3D finite volume flow models. Several new modelling approaches are proposed in the course of this investigation. The dynamic model achieves a high degree of simplicity and flexibility by assuming a slight compressibility in the process material, allowing the pressure to be calculated directly from the degree of over-fill in each model element using an equation of state. Comparison of the model predictions with dynamic temperature, pressure and residence time distribution data from an extrusion cooking process indicates a good predictive capability. The model can perform dynamic step-change calculations for typical screw configurations in approximately 30 seconds on a 600 MHz Pentium 3 personal computer. The second part of this thesis relates to the measurement of product quality attributes of extruded materials. A digital image processing technique for measuring the bubble size distribution in extruded foams from cross sectional images is presented. It is recognised that this is an important product quality attribute, though difficult to measure accurately with existing techniques. The present technique is demonstrated on several different products. A simulation study of the formation mechanism of polymer foams is also performed. The measurement of product quality attributes such as bulk density and hardness in a manner suitable for automatic control is also addressed. This is achieved through the development of an acoustic sensor for inferring product attributes using the sounds emanating from the product as it leaves the extruder. This method is found to have good prediction ability on unseen data. The third and final part of this thesis relates to the automatic control of product quality attributes using multivariable model predictive controllers based on both direct and indirect control strategies. In the given case study, indirect control strategies, which seek to regulate the product quality attributes through the control of secondary process indicators such as temperature and pressure, are found to cause greater deviations in product quality than taking no corrective control action at all. Conversely, direct control strategies are shown to give tight control over the product quality attributes, provided that appropriate product quality sensors or inferential estimation techniques are available.

<p>Intermeshing counter-rotating twin screw extruders (ICRTSE) are used extensively in the polymer processing industry for pelletizing, devolatilization and extrusion of various plastic products. ICRTSE have better positive displacement ability and are more suitable for shear sensitive materials compared to other types of twin screw extruders.</p> <p>The objectives of this thesis are to understand the flow mechanism and the effects of screw geometries and processing conditions in the ICRTSE. First, a simple flow model based on a volume of the conveying element of ICRTSE was used to calculate flow rate. Since ICRTSE do not give complete positive displacement, the various leakage flows were identified and taken into account in the simple flow model. Although the simple flow model provided reasonable results in terms of flow rate, computer simulations were found necessary due to the limitations of simple flow model. Second, a 3D computer simulation of ICRTSE was developed for various screw geometries and processing conditions. Both Newtonian and non-Newtonian fluids were examined.</p> <p>It was shown the simple model based on geometrical parameters for pumping behaviour give reasonable prediction of flow rate. It was found that determination of negative pressure should be taken into account in numerical simulations. The pumping efficiency is influenced positively by the ratio of flight width-to-channel width but it is affected negatively by the screw pitch length. It is negligibly changed with screw speed. Finally, the dominant flow is shear flow in ICRTSE and therefore, dispersive mixing capacity is very limited due to a lack of elongational effects.</p> / Master of Applied Science (MASc)

Canada is a major global producer of pulse products including pulse starch, which notably contributes to a healthy diet. Strategically, Canada is taking steps to research methods of adding greater value to these crop products, and functional foods like resistant starch are particularly interesting. The primary objectives of this study were to develop an effective reactive extrusion process to produce gelatinized lipid complexed pea starches with enhanced enzyme resistance and examine the effects of bulk lipid complexing conditions on physicochemical and functional properties of extruded pea starches. One type of commercially available pea starch, Nutri-Pea, was chosen as the research subject in this study. A number of methods including; Englyst digestion method, differential scanning calorimetry (DSC), infrared spectroscopy (FTIR), contact angle, titrations, residence time distribution (RTD) and rapid visco analysis (RVA) were used to characterize the properties of extruded pea starches. The effects of feed formulation and extrusion conditions on lipid complexing and Englyst digestion profiles were systematically examined on two mixing devices. An extensive kinetics study was conducted on a lab scale twin-screw compounder, DSM-Xplore. The process was then scaled up to produce bulk lipid complexed pea starch on a Leistritz twin-screw extruder. The results showed that lipid complexing and digestion profiles were highly dependent on feed moisture and induced screw shear. Reactive extrusion of pea starches under optimized conditions achieved a significant but moderate increase in either resistant starch (RS) content (from 13.3% to 20.2%) or slowly digestible starch (SDS) content (from 7.85% to 23.3%) compared to their native counterparts. However, RS and SDS content could not be improved simultaneously based on the pea starch and extrusion process in this study. Increased degree of substitution (DS) was found for myristic acid complexed pea starches (nominal DS= ~0.8) when compared to palmitic acid complexed pea starch (nominal DS= ~0.5). Contact angle measurements, FTIR and DSC thermograms confirmed the presence of lipids. Lipid complexed starch films showed increasing hydrophobicity with increasing lipid content. As an alternative product compared to functional foods, the modified starch was considered as a biodegradable film for industrial applications. The material was produced at the highest moisture content for extruded native starch and two concentrations of lipid complexed starch using an intensive screw design. Preliminary results show that increasing lipid content and adding 1% glycerol to samples decreases the force per film thickness required to puncture films. However further investigation is required to determine effect of heat and moisture deformation. / Thesis / Master of Applied Science (MASc) / Incorporation of pulses into food products has been a major area of Canadian research for its potential to create new avenues of enzyme resistant food starches. Extrusion cooking is commonly used in industry for producing various food products such as snacks and cereals but little research has been reported on using an extruder to rapidly produce resistant pulse starches as a functional ingredient on a large scale; resistant starch is a functional food beneficial to humans in the same manner as insoluble fiber but exhibits improved textural properties. This study aimed to develop an effective reactive extrusion process to produce lipid complexed pea starches with enhanced enzyme resistance (i.e. increased slowly digestible starch (SDS) and resistant starch (RS) content) by an examination of the effects of reaction conditions on the properties of extrusion products. The lipid complexed pea starches under optimized conditions achieved a significant but moderate increase in either RS content or SDS content depending on the sample formulation compared to their native counterparts. However, RS and SDS content could not simultaneously be improved in this study.

Large format 3D printing of thermoplastic polymers is a fast growing technology for industrial tools manufacturing and enables the production of meters long workpiece in a fraction of time, material and cost than conventional subtractive solutions. Due to the scale and timing imposed by the industry, Large Format Additive Manufacturing (LFAM) is mostly based on screw extrusion of thermoplastic pellets offering a significantly higher deposition rate and lower material costs compared to the well-known filament extrusion 3D printing (FFF). Carbon fiber reinforced polymers are commonly used in large-scale 3D printing as they minimize distortions and internal stresses during deposition preventing delamination and failure of the printed component. The technology stands out for the exceptional melt deposition rate; the lack of a temperature-controlled build chamber, and the low surface-to-volume proportion of the printed strand, making the temperature management of the deposited material particularly challenging in large-scale 3D printing. Print overcooling may lead to poor adhesion between layers eventually resulting in delamination, excessive heat build-up, on the other hand, is likely to result in sagging and print failure. Print thermal behavior and temperature management are closely related to material, part design and deposition strategy. Even though numerous software solutions for predictive process simulation as well as active feedback print controls for parameters optimization are emerging, common practice still relies on restricted set of strategies deduced by trial and error testing sessions; the best printing configuration is specifically custom-made for each print, an approach that could severely hinder the technology potential. This research is conducted as part of the project of CMS S.p.a., a company specialized in the production of CNC multi-axis machining centers, to develop and market an all-around tool manufacturing solution that would combine milling and Screw Extrusion Additive Manufacturing (SEAM). The study aims to develop a flexible and versatile cooling model that can predict the best process window for large-scale additive manufactured parts and automatically generate the best printing parameters for a generic printing strategy according to part material and shape. Next, the model was incorporated inside a path generation slicing software that operates with the same process parameters, unique solution on the market. Any given material is described by a specific set of variables that can be experimentally derived using a simple standardized procedure. Four industrially relevant materials were investigated for thermal model and software validation. In the framework of large format 3D printed tool manufacturing, 40 wt% carbon fiber reinforced polyamide 6 (PA6) and 20 wt% carbon fiber reinforced acrylonitrile-butadiene-styrene (ABS), polycarbonate (PC), and polyetherimide (PEI) play a strategic role in most applications. In addition, the research offers a physical, mechanical and thermal characterization of the printed workpiece providing a comprehensive guideline for part design, arrangement, and thermal compensation for traditional CFRP manufacturing tools. Finally, for each material, a real tool manufacturing case study and post-processed surface qualification is presented.