2021
DOI: 10.14445/22315381/ijett-v69i6p222
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The Development of Methodology for Tool Path Generation Using STEP Data Model Based on ISO 6983

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Cited by 4 publications
(4 citation statements)
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“…Many types of research had been done regarding automatic feature recognition of STEP files such as linear features [6], circular features [7] and the latest studies involving full profile features (a combination of linear features and circular features) [8]. However, they only focus on Cutter Location (CL) which eventually describes the machining profile in the x and y plane without considering the depth of the machining feature in the z-axis.…”
Section: Introductionmentioning
confidence: 99%
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“…Many types of research had been done regarding automatic feature recognition of STEP files such as linear features [6], circular features [7] and the latest studies involving full profile features (a combination of linear features and circular features) [8]. However, they only focus on Cutter Location (CL) which eventually describes the machining profile in the x and y plane without considering the depth of the machining feature in the z-axis.…”
Section: Introductionmentioning
confidence: 99%
“…The 3D solid model is created by the user or programmer using CAD modelling software as the product model and is stored in a STEP file format [8,[10][11]. The STEP-data structure consists of a text format comprising general information which are the cartesian points, lines, vectors etc.…”
Section: Introductionmentioning
confidence: 99%
“…Based on research findings, new concepts, and approaches have been developed to enhance the CNC machining process. Figure 2 illustrates a new method for the CNC machining process [21].…”
Section: Introductionmentioning
confidence: 99%
“…All related machine accuracy processes and procedures from literature reviews are used as reference or guidance to determine workflow and predict operation. This test is the machining process and a specific cutting speed and feed rate [19][20][21][22]. It was conducted to determine the position and geometric accuracy by developing a new computational imaging technique for measuring circularity and straightness using a CMM machine [23][24].…”
mentioning
confidence: 99%