Numerically controlled machining from three dimensional machine vision data

dc.contributor.authorBradley, Colin
dc.contributor.supervisorVickers, G.W.
dc.date.accessioned2018-07-03T22:19:40Z
dc.date.available2018-07-03T22:19:40Z
dc.date.copyright1992en_US
dc.date.issued2018-07-03
dc.degree.departmentDepartment of Mechanical Engineeringen_US
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractPrototyping is an essential step in the manufacture of many objects, both consumer and industrial. A fundamental step in this process is the definition of the three dimensional form of the object shape; for example, a designer's models created in clay or wood. A three dimensional vision system (range sensor) offers the advantage of speed in defining shapes compared to traditional tactile sensing. In this thesis, the viability of using range sensors is demonstrated by developing a rapid prototyping system comprised of a laser-based range sensor and software that creates a computer model of the object. One particularly important application of the computer model is for the generation of a control program, or toolpath, for a computer-numerically-controlled (CNC) machine tool. This is an important application in mold and die manufacture and mold manufacture for automobile components from full scale models. The computer model can also be incorporated into computer aided design and analysis programs. The most suitable vision system, for rapid prototyping applications, has been selected from a group of available sensors and integrated with a coordinate measuring machine that acts as a translation system. The range data produced have been utilised in a multi-patch surface modelling approach in order to model objects where many types of surface patches, such as quadric and free form, are blended together on one object. This technique has been demonstrated to provide accurate and smooth surface reconstructions that are suitable for generating CNC toolpaths. The viability of machining from multiple surface patch models has been demonstrated and, in addition, a new technique for the machining of free form surfaces developed. An alternative method for fully defining complex three dimensional shapes employing a rotary sensing of the object is also presented that permits the efficient generation of CNC machine toolpaths.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/9576
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectMachine-toolsen_US
dc.subjectNumerical controlen_US
dc.subjectProgrammingen_US
dc.titleNumerically controlled machining from three dimensional machine vision dataen_US
dc.typeThesisen_US

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