Automatic tool selection for milling operations Part 2: Tool sorting and variety reduction

Carpenter, I D; Maropoulos, Paul

doi:10.1243/0954405001517676

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…After the correct holders 28 and inserts have been selected to work in each area, many changes of cutting tools are probably required. The number of changes can be reduced by ordering the changes with the next procedure…”

Section: Methodsmentioning

confidence: 99%

Directional morphological approaches from image processing applied to automatic tool selection in computer numerical control milling machine

Mejia-Ugalde

Trejo-Hernández

Domínguez-González

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part B:

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Automatic tool selection in milling operation has become a very important step in the manufacturing and planning processes for 2.5D piece machining. The main contribution of this article is the development of a new method based on directional morphological approaches, applied to automatic tool selection in computer numerical control milling machines for machining a 2.5D of a geometry piece provided of three-dimensional model of computer-aided design or from an image taken with other devices. First, the image is preprocessed by applying several image processing techniques. Later, mathematical morphology as erosion or dilation to create structural element with the shape of the cutting tool is used. The method displaces a structural element throughout the entire image with the values of the lengths of the piece boundary and the cutting tool to select the correct cutting tool and tool path. Besides, with the same structural element, the zig and zig-zag contour trajectories are obtained in standard computer numerical control code. Results from these experiments show that the method makes it possible to obtain good performance in automatic tool selection when several types of pieces are processed.

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Section: Methodsmentioning

confidence: 99%

Directional morphological approaches from image processing applied to automatic tool selection in computer numerical control milling machine

Mejia-Ugalde

Trejo-Hernández

Domínguez-González

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…All pixels contained in the part are labeled in coordinates (i, k) and a logical value (0); all pixels of the structural element of the tool with another logical value are labeled (1), when a structural element with the shape of the cutting tool is displaced through all the image and if the position of one or more pixels of the structural element belong to the part then an intersection exists. After the correct holders 22 and inserts have been selected to work on each area, many changes of cutting tools will probably be required. The number of changes can be reduced by ordering the changes with the next procedure…”

Section: Step 4 Part Identificationmentioning

confidence: 99%

New approach for automatic tool selection in computer numerically controlled lathe by applying image processing

Mejia-Ugalde

Domínguez-González

Trejo-Hernández

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part B:

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Tool selection is a very important step in manufacturing processes so as to improve productivity with high quality. The contribution of this work is the development of a new method for automatic tool selection in computer numerical control lathe machines, based on image processing techniques and information of the boundary of the piece, provided by either a .DXF file (drawing exchange format) or from an image taken with other devices. The proposed method detects the preferential direction in the boundary of the piece and creates a directional field through a directional gradient aiming at selecting the correct tool. Results from experiments show that the method makes it possible to work with a resolution of 1.1 micrometers, and to obtain good performance in automatic tool selection when several types of twodimensional parts in the image are processed.

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“…Carpenter and Maropoulos [20] detailed work on rationalization issues to enhance tool selection, and [32], etc. In order to compensate for the eVect of cutting tools, toolholders and tool overhang on recommended machinability data (in particular cutting speed), fuzzy logic was utilized.…”

Section: Both Roughing and ®Nishing Face Mill Operationsmentioning

confidence: 99%

“…Constraints considered were the dimensional tolerance of geometric features, workpiece surface roughness, workpiece material and machine tool characteristics. Carpenter and Maropoulos [19,20] developed the 'OPTIMUM' system for a range of rough and ®nish milling operations. Their research involved machinability data optimization under a range of technological constraints, which included tool life, workpiece surface roughness, machine power and available spindle speeds and feed rates.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach to the high-speed machining of moulds and dies involving both a knowledge-based system and a chatter detection and control system

Sim

Dewes

Aspinwall

2002

Proceedings of the Institution of Mechanical Engineers, Part B:

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Over the past decade, high-speed machining (HSM) has provided a step change in productivity for the manufacture of moulds and dies, particularly those made from tool steels in the fully hardened state. Advantages include reduced machining times and costs and favourable workpiece surface integrity. The knowledge and expertise that have been generated in academia and industry are widespread and important for the e¤cient utilization of HSM. Following a survey of relevant publications, the present paper details the development of an integrated system for the HSM of moulds and dies. This included the design and implementation of a knowledge-based system (KBS) and a chatter detection and control system. The main modules of the KBS related to machine tools, cutting tools and machinability data, toolholders, cutter path strategies and troubleshooting, together with a database management centre. Ranking techniques were employed with combined weighing factors, together with tool rationalization and reduction strategies, fuzzy logic and machinability data optimization. The chatter detection and control system utilized a microphone to detect chatter and employed online spindle speed and feed rate modi®cation strategies for its suppression. The system was capable of being interfaced with the KBS in order to transfer and store local knowledge unique to a particular toolmaker's operations.

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Automatic tool selection for milling operations Part 2: Tool sorting and variety reduction

Cited by 7 publications

References 11 publications

Directional morphological approaches from image processing applied to automatic tool selection in computer numerical control milling machine

Directional morphological approaches from image processing applied to automatic tool selection in computer numerical control milling machine

New approach for automatic tool selection in computer numerically controlled lathe by applying image processing

An integrated approach to the high-speed machining of moulds and dies involving both a knowledge-based system and a chatter detection and control system

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