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Design for manufacturability (also sometimes known as design for manufacturing or DFM) is the general engineering practice of designing products in such a way that they are easy to manufacture. The concept exists in almost all engineering disciplines, but the implementation differs widely depending on the manufacturing technology.
DFMA (also sometimes rendered as DfMA) is an acronym for design for manufacture and assembly.DFMA is the combination of two methodologies; design for manufacture, which means the design for ease of manufacture of the parts that will form a product, and design for assembly, which means the design of the product for ease of assembly deriving creative ideas at the same time.
Design for additive manufacturing (DfAM or DFAM) is design for manufacturability as applied to additive manufacturing (AM). It is a general type of design methods or tools whereby functional performance and/or other key product life-cycle considerations such as manufacturability, reliability, and cost can be optimized subjected to the capabilities of additive manufacturing technologies.
Design for assembly can take different forms. In the 1960s and 1970s various rules and recommendations were proposed in order to help designers consider assembly problems during the design process. Many of these rules and recommendations were presented together with practical examples showing how assembly difficulty could be improved.
Pages for logged out editors learn more. Contributions; Talk; Design for manufacturing
The design for lean manufacturing equation is design for lean manufacturing success = strategic values minus the drivers of design and process wastes. A good design is one that simultaneously reduces waste and delivers value. [17] [18] There are multiple drivers that cause product, process, and lifecycle wastes. [19]
Design for verification (DfV) is a set of engineering guidelines to aid designers in ensuring right first time manufacturing and assembly of large-scale components.The guidelines were developed as a tool to inform and direct designers during early stage design phases to trade off estimated measurement uncertainty against tolerance, cost, assembly, measurability and product requirements.
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