An APQP Checklist is used by engineering, manufacturing, quality, procurement, and distribution professionals to ensure that products are up to spec before market release. Use this customizable checklist to conduct more effective advanced product quality planning. This APQP full form checklist has been designed to make it easier for cross-functional teams to perform the following:
This APQP checklist is a step-by-step guide for the product design and development phase of the advanced product quality planning process. Confirm reliability growth, Design FMEA, mistake-proofing strategy, prototype control plans, engineering specifications, manufacturing process sequence, and process descriptions with the use of this APQP checklist. Take photos of engineering drawings, prototype builds, and other proof of findings for proper documentation of the APQP.
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This APQP checklist contains a detailed set of questions for the process design and development phase of the advanced product quality planning. Use this APQP checklist to ensure the performance of Process FMEA, key process characteristics, pre-launch control plans, process capability estimates, operator process instructions, packaging and shipping design, and supplier process sign-offs. Gather the electronic signatures of APQP personnel to authenticate all deliverables.
An APQP Documents Checklist is used by project managers and cross-functional teams to complete all advanced product quality planning requirements. Start by reviewing the voice of the customer, lessons-learned database, and quality policy. Define the project goals by establishing priorities, design, quality and reliability goals, and management support. Finally, carry out all product and process design, development, and validation procedures and apply feedback, assessments and corrective actions for continuous improvement. Access this APQP Documents Checklist anytime, anywhere on any iOS, Android, or Windows Mobile device.
The International Journal of Advanced Manufacturing Technology bridges the gap between pure research journals and the more practical publications on advanced manufacturing and systems. It therefore provides an outstanding forum for papers covering applications-based research topics relevant to manufacturing processes, machines and process integration.
Just a few years ago, additive manufacturing (AM) was purely associated with rapid prototyping, research projects, and advanced engineering teams. Now many organizations are looking to AM as a production solution. To some this means manufacturing parts through an additive method, to others additive is essential for the creation of timely tooling. Altair provides software that goes beyond the creation of unique prototypes and provides a robust simulation toolchain to support production designs.
The distinctive organic looking parts that many consider a trademark additive manufacturing (AM) aesthetic, are created through a process called topology optimization. Altair OptiStruct is the original topology optimization structural design tool. While some are still discovering how this technology can help designers and engineers rapidly develop innovative, lightweight, and structurally efficient designs, for over two decades OptiStruct has driven the design of products you see and use every day.
Applied Across Industries: OptiStruct uses topology optimization to develop optimized structures by considering design parameters like expected loads, available design space, material, and cost. Embedded early in the design process, it enables the creation of designs with minimal mass and maximal stiffness. Topology optimization allows you to find the best material distribution for your traditional or advanced manufacturing process and compare designs.
This report is the result of a collaboration between members of the World Economic Forum Council on Advanced Manufacturing and Production. It summarizes the main findings of work conducted on the application of advanced manufacturing and digital technologies on future production and supply-chain models. The applications set out in this paper highlight the importance of collaborations across supply-chain partners as crucial to technology adoption and exploitation.
3D printing or additive manufacturing is the construction of a three-dimensional object from a CAD model or a digital 3D model.[1] It can be done in a variety of processes in which material is deposited, joined or solidified under computer control,[2] with material being added together (such as plastics, liquids or powder grains being fused), typically layer by layer.
In the 1980s, 3D printing techniques were considered suitable only for the production of functional or aesthetic prototypes, and a more appropriate term for it at the time was rapid prototyping.[3] As of 2019[update], the precision, repeatability, and material range of 3D printing have increased to the point that some 3D printing processes are considered viable as an industrial-production technology, whereby the term additive manufacturing can be used synonymously with 3D printing.[4] One of the key advantages of 3D printing[5] is the ability to produce very complex shapes or geometries that would be otherwise infeasible to construct by hand, including hollow parts or parts with internal truss structures to reduce weight. Fused deposition modeling (FDM), which uses a continuous filament of a thermoplastic material, is the most common 3D printing process in use as of 2020[update].[6]
The umbrella term additive manufacturing (AM) gained popularity in the 2000s,[7] inspired by the theme of material being added together (in any of various ways). In contrast, the term subtractive manufacturing appeared as a retronym for the large family of machining processes with material removal as their common process. The term 3D printing still referred only to the polymer technologies in most minds, and the term AM was more likely to be used in metalworking and end-use part production contexts than among polymer, inkjet, or stereolithography enthusiasts.
By the early 2010s, the terms 3D printing and additive manufacturing evolved senses in which they were alternate umbrella terms for additive technologies, one being used in popular language by consumer-maker communities and the media, and the other used more formally by industrial end-use part producers, machine manufacturers, and global technical standards organizations. Until recently, the term 3D printing has been associated with machines low in price or in capability.[8] 3D printing and additive manufacturing reflect that the technologies share the theme of material addition or joining throughout a 3D work envelope under automated control. Peter Zelinski, the editor-in-chief of Additive Manufacturing magazine, pointed out in 2017 that the terms are still often synonymous in casual usage,[9] but some manufacturing industry experts are trying to make a distinction whereby additive manufacturing comprises 3D printing plus other technologies or other aspects of a manufacturing process.[9]
Other terms that have been used as synonyms or hypernyms have included desktop manufacturing, rapid manufacturing (as the logical production-level successor to rapid prototyping), and on-demand manufacturing (which echoes on-demand printing in the 2D sense of printing). The fact that the application of the adjectives rapid and on-demand to the noun manufacturing was novel in the 2000s reveals the long-prevailing mental model of the previous industrial era during which almost all production manufacturing had involved long lead times for laborious tooling development. Today, the term subtractive has not replaced the term machining, instead complementing it when a term that covers any removal method is needed. Agile tooling is the use of modular means to design tooling that is produced by additive manufacturing or 3D printing methods to enable quick prototyping and responses to tooling and fixture needs. Agile tooling uses a cost-effective and high-quality method to quickly respond to customer and market needs, and it can be used in hydro-forming, stamping, injection molding and other manufacturing processes.
On 2 July 1984, American entrepreneur Bill Masters filed a patent for his computer automated manufacturing process and system (US 4665492).[18] This filing is on record at the USPTO as the first 3D printing patent in history; it was the first of three patents belonging to Masters that laid the foundation for the 3D printing systems used today.[19][20]
AM processes for metal sintering or melting (such as selective laser sintering, direct metal laser sintering, and selective laser melting) usually went by their own individual names in the 1980s and 1990s. At the time, all metalworking was done by processes that are now called non-additive (casting, fabrication, stamping, and machining); although plenty of automation was applied to those technologies (such as by robot welding and CNC), the idea of a tool or head moving through a 3D work envelope transforming a mass of raw material into a desired shape with a toolpath was associated in metalworking only with processes that removed metal (rather than adding it), such as CNC milling, CNC EDM, and many others. But the automated techniques that added metal, which would later be called additive manufacturing, were beginning to challenge that assumption. By the mid-1990s, new techniques for material deposition were developed at Stanford and Carnegie Mellon University, including microcasting[31] and sprayed materials.[32] Sacrificial and support materials had also become more common, enabling new object geometries.[33] 2ff7e9595c
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