The Experts below are selected from a list of 4350882 Experts worldwide ranked by ideXlab platform
Guha P. Manogharan - One of the best experts on this subject based on the ideXlab platform.
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Re-Thinking Design Methodology for Castings: 3D Sand-Printing and Topology Optimization
International Journal of Metalcasting, 2019Co-Authors: Jiayi Wang, Santosh Reddy Sama, Guha P. ManogharanAbstract:Additive manufacturing of sand molds and cores for metal castings, often called 3D sand-printing (3DSP), is an efficient “freeform” fabrication process that enables rapid production of sand metal castings. The ability to create highly complex molds and cores for advanced metal casting geometries via 3DSP provides unparalleled Design freedom, particularly for low-volume production. However, there is a need to thoroughly understand the opportunities and restrictions of 3DSP in a systematic approach similar to well-established Design guidelines for traditional sand casting. This study presents a Knowledge-Based Design framework for 3DSP with the goal of developing new part Design guidelines under such 3DSP framework. In particular, constrained topology optimization approach for the part reDesign is developed for 3DSP. The presented Design framework is compared with traditional sand-casting rules and validated through a case study on an existing metal component. Advantages of the developed 3DSP Design framework are illustrated and validated through a case study where a 30% improvement in factor of safety and a 50% reduction in weight of a mechanical part is achieved. Other advantages, such as reduced lead time and production cost, are also observed. This research provides the first known investigation into systematic implementation of simultaneous constraints of 3DSP sand-casting rules mechanical strength through the integration of topology optimization and novel Design rules to castings via 3D-printed molds. 3DSP also eliminates multiple Design constraints in conventional mold-making and core-box fabrication. Findings from this study can be applied for a wide range of alloy systems, part geometries and loading conditions for sand castings in industrial applications.
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Non-conventional mold Design for metal casting using 3D sand-printing
Journal of Manufacturing Processes, 2018Co-Authors: Santosh Reddy Sama, Jiayi Wang, Guha P. ManogharanAbstract:3D Sand-Printing (3DSP) is a relatively new Additive Manufacturing (AM) technology that enables direct digital manufacturing (DDM) of complex sand molds and cores for sand casting applications. Ever-growing interest in this indirect hybrid metal AM process is attributed to its ability to rapidly produce tooling (i.e., cores and molds) for complex metal castings that are otherwise impossible to manufacture using conventional techniques. Knowledge-Based Design rules for this process is currently very limited and is being progressively realized on an ad-hoc basis to produce economicaly viable low-batch castings. In this research, non-conventional Design rules for gating and feeding (also known as rigging) is developed to improve casting performance (i.e., filling, feeding and solidification). Several case studies are presented to illustrate the improved casting performance by systematically reDesigning each element of the rigging system. Computational simulations of the melt flow are developed to evaluate the effectiveness of reDesigned rigging system. This research further illustrates the ability of 3DSP to not only impact part performance, i.e., optimized metal casting Designs via 3DSP but also drastically improves the casting performance which could potentially transform the industry of sand casting to produce high quality castings.
Santosh Reddy Sama - One of the best experts on this subject based on the ideXlab platform.
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Re-Thinking Design Methodology for Castings: 3D Sand-Printing and Topology Optimization
International Journal of Metalcasting, 2019Co-Authors: Jiayi Wang, Santosh Reddy Sama, Guha P. ManogharanAbstract:Additive manufacturing of sand molds and cores for metal castings, often called 3D sand-printing (3DSP), is an efficient “freeform” fabrication process that enables rapid production of sand metal castings. The ability to create highly complex molds and cores for advanced metal casting geometries via 3DSP provides unparalleled Design freedom, particularly for low-volume production. However, there is a need to thoroughly understand the opportunities and restrictions of 3DSP in a systematic approach similar to well-established Design guidelines for traditional sand casting. This study presents a Knowledge-Based Design framework for 3DSP with the goal of developing new part Design guidelines under such 3DSP framework. In particular, constrained topology optimization approach for the part reDesign is developed for 3DSP. The presented Design framework is compared with traditional sand-casting rules and validated through a case study on an existing metal component. Advantages of the developed 3DSP Design framework are illustrated and validated through a case study where a 30% improvement in factor of safety and a 50% reduction in weight of a mechanical part is achieved. Other advantages, such as reduced lead time and production cost, are also observed. This research provides the first known investigation into systematic implementation of simultaneous constraints of 3DSP sand-casting rules mechanical strength through the integration of topology optimization and novel Design rules to castings via 3D-printed molds. 3DSP also eliminates multiple Design constraints in conventional mold-making and core-box fabrication. Findings from this study can be applied for a wide range of alloy systems, part geometries and loading conditions for sand castings in industrial applications.
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Non-conventional mold Design for metal casting using 3D sand-printing
Journal of Manufacturing Processes, 2018Co-Authors: Santosh Reddy Sama, Jiayi Wang, Guha P. ManogharanAbstract:3D Sand-Printing (3DSP) is a relatively new Additive Manufacturing (AM) technology that enables direct digital manufacturing (DDM) of complex sand molds and cores for sand casting applications. Ever-growing interest in this indirect hybrid metal AM process is attributed to its ability to rapidly produce tooling (i.e., cores and molds) for complex metal castings that are otherwise impossible to manufacture using conventional techniques. Knowledge-Based Design rules for this process is currently very limited and is being progressively realized on an ad-hoc basis to produce economicaly viable low-batch castings. In this research, non-conventional Design rules for gating and feeding (also known as rigging) is developed to improve casting performance (i.e., filling, feeding and solidification). Several case studies are presented to illustrate the improved casting performance by systematically reDesigning each element of the rigging system. Computational simulations of the melt flow are developed to evaluate the effectiveness of reDesigned rigging system. This research further illustrates the ability of 3DSP to not only impact part performance, i.e., optimized metal casting Designs via 3DSP but also drastically improves the casting performance which could potentially transform the industry of sand casting to produce high quality castings.
Jiayi Wang - One of the best experts on this subject based on the ideXlab platform.
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Re-Thinking Design Methodology for Castings: 3D Sand-Printing and Topology Optimization
International Journal of Metalcasting, 2019Co-Authors: Jiayi Wang, Santosh Reddy Sama, Guha P. ManogharanAbstract:Additive manufacturing of sand molds and cores for metal castings, often called 3D sand-printing (3DSP), is an efficient “freeform” fabrication process that enables rapid production of sand metal castings. The ability to create highly complex molds and cores for advanced metal casting geometries via 3DSP provides unparalleled Design freedom, particularly for low-volume production. However, there is a need to thoroughly understand the opportunities and restrictions of 3DSP in a systematic approach similar to well-established Design guidelines for traditional sand casting. This study presents a Knowledge-Based Design framework for 3DSP with the goal of developing new part Design guidelines under such 3DSP framework. In particular, constrained topology optimization approach for the part reDesign is developed for 3DSP. The presented Design framework is compared with traditional sand-casting rules and validated through a case study on an existing metal component. Advantages of the developed 3DSP Design framework are illustrated and validated through a case study where a 30% improvement in factor of safety and a 50% reduction in weight of a mechanical part is achieved. Other advantages, such as reduced lead time and production cost, are also observed. This research provides the first known investigation into systematic implementation of simultaneous constraints of 3DSP sand-casting rules mechanical strength through the integration of topology optimization and novel Design rules to castings via 3D-printed molds. 3DSP also eliminates multiple Design constraints in conventional mold-making and core-box fabrication. Findings from this study can be applied for a wide range of alloy systems, part geometries and loading conditions for sand castings in industrial applications.
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Non-conventional mold Design for metal casting using 3D sand-printing
Journal of Manufacturing Processes, 2018Co-Authors: Santosh Reddy Sama, Jiayi Wang, Guha P. ManogharanAbstract:3D Sand-Printing (3DSP) is a relatively new Additive Manufacturing (AM) technology that enables direct digital manufacturing (DDM) of complex sand molds and cores for sand casting applications. Ever-growing interest in this indirect hybrid metal AM process is attributed to its ability to rapidly produce tooling (i.e., cores and molds) for complex metal castings that are otherwise impossible to manufacture using conventional techniques. Knowledge-Based Design rules for this process is currently very limited and is being progressively realized on an ad-hoc basis to produce economicaly viable low-batch castings. In this research, non-conventional Design rules for gating and feeding (also known as rigging) is developed to improve casting performance (i.e., filling, feeding and solidification). Several case studies are presented to illustrate the improved casting performance by systematically reDesigning each element of the rigging system. Computational simulations of the melt flow are developed to evaluate the effectiveness of reDesigned rigging system. This research further illustrates the ability of 3DSP to not only impact part performance, i.e., optimized metal casting Designs via 3DSP but also drastically improves the casting performance which could potentially transform the industry of sand casting to produce high quality castings.
Steven Halliday - One of the best experts on this subject based on the ideXlab platform.
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development of a lightweight knowledge based Design system as a business asset to support advanced fixture and tooling Design proceedings of the 15th ispe international conference on concurrent engineering ce2008
2008Co-Authors: Nicholas Reed, James Scanlan, Steven HallidayAbstract:This paper introduces and describes a continuing programme of work initiated between Rolls-Royce plc and the University of Southampton to create a Knowledge Based System, intended to reduce the demand on currently limited specialist resource and to facilitate future business growth. The paper begins by introducing the working context and provides an explanation of the demands faced by the business. The structure of the Knowledge Based System is given and the rationale detailed with respect to the business context. The paper argues that in order to provide value to the business, the most benefit will be seen from a lightweight system that supports user’s actions rather than introduce automation. The paper concludes with a review of the work completed to date and the proposed future work.
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development of a lightweight knowledge based Design system as a business asset to support advanced fixture and tooling Design
2008Co-Authors: Nicholas Reed, James Scanlan, Steven HallidayAbstract:This paper introduces and describes a continuing programme of work initiated between Rolls-Royce plc and the University of Southampton to create a Knowledge Based System, intended to reduce the demand on currently limited specialist resource and to facilitate future business growth.
Sirard Jean-claude - One of the best experts on this subject based on the ideXlab platform.
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The Use of Translational Modelling and Simulation to Develop Immunomodulatory Therapy as an Adjunct to Antibiotic Treatment in the Context of Pneumonia
'MDPI AG', 2021Co-Authors: Michelet Robin, Ursino Moreno, Boulet Sandrine, Franck Sebastian, Casilag Fiordiligie, Baldry Mara, Rolff Jens, Van Dyk Madelé, Wicha Sebastian, Sirard Jean-claudeAbstract:International audienceThe treatment of respiratory tract infections is threatened by the emergence of bacterial resistance. Immunomodulatory drugs, which enhance airway innate immune defenses, may improve therapeutic outcome. In this concept paper, we aim to highlight the utility of pharmacometrics and Bayesian inference in the development of immunomodulatory therapeutic agents as an adjunct to antibiotics in the context of pneumonia. For this, two case studies of translational modelling and simulation frameworks are introduced for these types of drugs up to clinical use. First, we evaluate the pharmacokinetic/pharmacodynamic relationship of an experimental combination of amoxicillin and a TLR4 agonist, monophosphoryl lipid A, by developing a pharmacometric model accounting for interaction and potential translation to humans. Capitalizing on this knowledge and associating clinical trial extrapolation and statistical modelling approaches, we then investigate the TLR5 agonist flagellin. The resulting workflow combines expert and prior knowledge on the compound with the in vitro and in vivo data generated during exploratory studies in order to construct high-dimensional models considering the pharmacokinetics and pharmacodynamics of the compound. This workflow can be used to refine preclinical experiments, estimate the best doses for human studies, and create an adaptive Knowledge-Based Design for the next phases of clinical development
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The Use of Translational Modelling and Simulation to Develop Immunomodulatory Therapy as an Adjunct to Antibiotic Treatment in the Context of Pneumonia
2021Co-Authors: Michelet Robin, Ursino Moreno, Boulet Sandrine, Franck Sebastian, Casilag Fiordiligie, Baldry Mara, Rolff Jens, Van Dyk Madelé, Wicha, Sebastian G., Sirard Jean-claudeAbstract:The treatment of respiratory tract infections is threatened by the emergence of bacterial resistance. Immunomodulatory drugs, which enhance airway innate immune defenses, may improve therapeutic outcome. In this concept paper, we aim to highlight the utility of pharmacometrics and Bayesian inference in the development of immunomodulatory therapeutic agents as an adjunct to antibiotics in the context of pneumonia. For this, two case studies of translational modelling and simulation frameworks are introduced for these types of drugs up to clinical use. First, we evaluate the pharmacokinetic/pharmacodynamic relationship of an experimental combination of amoxicillin and a TLR4 agonist, monophosphoryl lipid A, by developing a pharmacometric model accounting for interaction and potential translation to humans. Capitalizing on this knowledge and associating clinical trial extrapolation and statistical modelling approaches, we then investigate the TLR5 agonist flagellin. The resulting workflow combines expert and prior knowledge on the compound with the in vitro and in vivo data generated during exploratory studies in order to construct high-dimensional models considering the pharmacokinetics and pharmacodynamics of the compound. This workflow can be used to refine preclinical experiments, estimate the best doses for human studies, and create an adaptive Knowledge-Based Design for the next phases of clinical development
