ºÝºÝߣshows by User: WildeAnalysis / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: WildeAnalysis / Mon, 31 Oct 2011 09:40:15 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: WildeAnalysis Improving Manufacturing by Simulation: Processes, Microstructure & Tooling /slideshow/2011-wilde-analysisvecoctpresentation/9961232 2011wildeanalysisvecoctpresentation-111031094017-phpapp01
This presentation, made at the inaugural Virtual Engineering Centre Workshop on 25-26th October 2011, provides an overview of the application of simulation to optimise manufacturing processes and determine mechanical properties that can affect in-service performance. These properties can be imported into structural FEA programs such as ANSYS for subsequent analysis of the final product. Wilde Analysis believes that simulation techniques can play an important part in ensuring that parts are produced to a required standard and in an efficient way. Many of us are aware of simulation techniques such as finite element analysis (FEA) and computational fluid dynamics (CFD) being applied to product design. These techniques are now used extensively in product development for applications such as checks on structural integrity or pressure drops in fluid applications. However, fewer people are aware of the application of these and similar techniques to design and optimise the manufacturing processes and how they can deliver benefits in areas such as metal forging, machining, heat treatment and the injection moulding. The simulation of any one of these processes is technically demanding, but is now used extensively by many manufacturers, some of whom will not commit to making tools to produce a new part without first ‘proving’ the process using simulation. These simulations require advanced techniques including the modelling of non linear materials, large displacements, evolving contact surfaces and material removal in a multi-physics environment. Having mastered the modelling of a single process, the technology is now being applied to multi-stage modelling to simulate multiple operations and predict final properties that can affect in-service performance. This presents many new challenges and for some applications it’s still at the research stage. Nevertheless, current technologies are now being used to optimise manufacturing processes.]]>
This presentation, made at the inaugural Virtual Engineering Centre Workshop on 25-26th October 2011, provides an overview of the application of simulation to optimise manufacturing processes and determine mechanical properties that can affect in-service performance. These properties can be imported into structural FEA programs such as ANSYS for subsequent analysis of the final product. Wilde Analysis believes that simulation techniques can play an important part in ensuring that parts are produced to a required standard and in an efficient way. Many of us are aware of simulation techniques such as finite element analysis (FEA) and computational fluid dynamics (CFD) being applied to product design. These techniques are now used extensively in product development for applications such as checks on structural integrity or pressure drops in fluid applications. However, fewer people are aware of the application of these and similar techniques to design and optimise the manufacturing processes and how they can deliver benefits in areas such as metal forging, machining, heat treatment and the injection moulding. The simulation of any one of these processes is technically demanding, but is now used extensively by many manufacturers, some of whom will not commit to making tools to produce a new part without first ‘proving’ the process using simulation. These simulations require advanced techniques including the modelling of non linear materials, large displacements, evolving contact surfaces and material removal in a multi-physics environment. Having mastered the modelling of a single process, the technology is now being applied to multi-stage modelling to simulate multiple operations and predict final properties that can affect in-service performance. This presents many new challenges and for some applications it’s still at the research stage. Nevertheless, current technologies are now being used to optimise manufacturing processes.]]> Mon, 31 Oct 2011 09:40:15 GMT /slideshow/2011-wilde-analysisvecoctpresentation/9961232 WildeAnalysis@slideshare.net(WildeAnalysis) Improving Manufacturing by Simulation: Processes, Microstructure & Tooling WildeAnalysis This presentation, made at the inaugural Virtual Engineering Centre Workshop on 25-26th October 2011, provides an overview of the application of simulation to optimise manufacturing processes and determine mechanical properties that can affect in-service performance. These properties can be imported into structural FEA programs such as ANSYS for subsequent analysis of the final product. Wilde Analysis believes that simulation techniques can play an important part in ensuring that parts are produced to a required standard and in an efficient way. Many of us are aware of simulation techniques such as finite element analysis (FEA) and computational fluid dynamics (CFD) being applied to product design. These techniques are now used extensively in product development for applications such as checks on structural integrity or pressure drops in fluid applications. However, fewer people are aware of the application of these and similar techniques to design and optimise the manufacturing processes and how they can deliver benefits in areas such as metal forging, machining, heat treatment and the injection moulding. The simulation of any one of these processes is technically demanding, but is now used extensively by many manufacturers, some of whom will not commit to making tools to produce a new part without first ‘proving’ the process using simulation. These simulations require advanced techniques including the modelling of non linear materials, large displacements, evolving contact surfaces and material removal in a multi-physics environment. Having mastered the modelling of a single process, the technology is now being applied to multi-stage modelling to simulate multiple operations and predict final properties that can affect in-service performance. This presents many new challenges and for some applications it’s still at the research stage. Nevertheless, current technologies are now being used to optimise manufacturing processes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2011wildeanalysisvecoctpresentation-111031094017-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation, made at the inaugural Virtual Engineering Centre Workshop on 25-26th October 2011, provides an overview of the application of simulation to optimise manufacturing processes and determine mechanical properties that can affect in-service performance. These properties can be imported into structural FEA programs such as ANSYS for subsequent analysis of the final product. Wilde Analysis believes that simulation techniques can play an important part in ensuring that parts are produced to a required standard and in an efficient way. Many of us are aware of simulation techniques such as finite element analysis (FEA) and computational fluid dynamics (CFD) being applied to product design. These techniques are now used extensively in product development for applications such as checks on structural integrity or pressure drops in fluid applications. However, fewer people are aware of the application of these and similar techniques to design and optimise the manufacturing processes and how they can deliver benefits in areas such as metal forging, machining, heat treatment and the injection moulding. The simulation of any one of these processes is technically demanding, but is now used extensively by many manufacturers, some of whom will not commit to making tools to produce a new part without first ‘proving’ the process using simulation. These simulations require advanced techniques including the modelling of non linear materials, large displacements, evolving contact surfaces and material removal in a multi-physics environment. Having mastered the modelling of a single process, the technology is now being applied to multi-stage modelling to simulate multiple operations and predict final properties that can affect in-service performance. This presents many new challenges and for some applications it’s still at the research stage. Nevertheless, current technologies are now being used to optimise manufacturing processes.
Improving Manufacturing by Simulation: Processes, Microstructure & Tooling from Wilde Analysis Ltd.
]]> 2548 7 https://cdn.slidesharecdn.com/ss_thumbnails/2011wildeanalysisvecoctpresentation-111031094017-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Reducing Product Development Risk with Reliability Engineering Methods /WildeAnalysis/reducing-product-development-risk-with-reliability-engineering-methods mccarthyinterplas2011-111006044940-phpapp01
Overview of how reliability engineering methodology and software tools can help companies manage risk during product development and improve performance. Presented at the Interplas'2011 exhibition and conference at the NEC on 27th October 2011 by Mike McCarthy. This presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles. Three examples are: - Failure Mode Effects (and Criticality) Analysis (FMECA) to identify, manage and reuse information on what could go wrong with a design or manufacturing process and how to avoid it - Design of Experiments for optimising performance through a structured and efficient study of parameters that affect the product or manufacturing process (e.g. injection moulding) - Accelerated Life Testing to identify potential long term failure modes of products released to market within a shortened development time. We will explore how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards. ]]>
Overview of how reliability engineering methodology and software tools can help companies manage risk during product development and improve performance. Presented at the Interplas'2011 exhibition and conference at the NEC on 27th October 2011 by Mike McCarthy. This presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles. Three examples are: - Failure Mode Effects (and Criticality) Analysis (FMECA) to identify, manage and reuse information on what could go wrong with a design or manufacturing process and how to avoid it - Design of Experiments for optimising performance through a structured and efficient study of parameters that affect the product or manufacturing process (e.g. injection moulding) - Accelerated Life Testing to identify potential long term failure modes of products released to market within a shortened development time. We will explore how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards. ]]> Thu, 06 Oct 2011 04:49:38 GMT /WildeAnalysis/reducing-product-development-risk-with-reliability-engineering-methods WildeAnalysis@slideshare.net(WildeAnalysis) Reducing Product Development Risk with Reliability Engineering Methods WildeAnalysis Overview of how reliability engineering methodology and software tools can help companies manage risk during product development and improve performance. Presented at the Interplas'2011 exhibition and conference at the NEC on 27th October 2011 by Mike McCarthy. This presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles. Three examples are: - Failure Mode Effects (and Criticality) Analysis (FMECA) to identify, manage and reuse information on what could go wrong with a design or manufacturing process and how to avoid it - Design of Experiments for optimising performance through a structured and efficient study of parameters that affect the product or manufacturing process (e.g. injection moulding) - Accelerated Life Testing to identify potential long term failure modes of products released to market within a shortened development time. We will explore how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mccarthyinterplas2011-111006044940-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview of how reliability engineering methodology and software tools can help companies manage risk during product development and improve performance. Presented at the Interplas&#39;2011 exhibition and conference at the NEC on 27th October 2011 by Mike McCarthy. This presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles. Three examples are: - Failure Mode Effects (and Criticality) Analysis (FMECA) to identify, manage and reuse information on what could go wrong with a design or manufacturing process and how to avoid it - Design of Experiments for optimising performance through a structured and efficient study of parameters that affect the product or manufacturing process (e.g. injection moulding) - Accelerated Life Testing to identify potential long term failure modes of products released to market within a shortened development time. We will explore how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards.
Reducing Product Development Risk with Reliability Engineering Methods from Wilde Analysis Ltd.
]]> 2554 12 https://cdn.slidesharecdn.com/ss_thumbnails/mccarthyinterplas2011-111006044940-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-WildeAnalysis-48x48.jpg?cb=1527714786 Experience of a wide range of industries and engineering disciplines, through a high quality apprenticeship and subsequent activities at a diverse, multi-disciplined engineering consultancy. Development of a sales team structure and marketing strategy for software, consulting & training, including rebranding and expansion of the portfolio. Manager of business development, marketing, technical pre-sales and administration teams. Advocate of social inclusivity through dramatic arts. Board member of and contributor to Cotton Shed theatre company in Rossendale, creating original and improvised shows for all ages and abilities. Goals - To continue to grow Wilde Analysis as an independent, val... WildeAnalysis.co.uk https://cdn.slidesharecdn.com/ss_thumbnails/2011wildeanalysisvecoctpresentation-111031094017-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/2011-wilde-analysisvecoctpresentation/9961232 Improving Manufacturin... https://cdn.slidesharecdn.com/ss_thumbnails/mccarthyinterplas2011-111006044940-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds WildeAnalysis/reducing-product-development-risk-with-reliability-engineering-methods Reducing Product Devel...