Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making

Yang, Yizhe; Liu, Bingshan; Li, Haochen; Li, Xin; Liu, Xiaodong; Gong, Wei

doi:10.1007/s10845-022-01945-w

Cited by 4 publications

(2 citation statements)

References 52 publications

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“…AP242 is created by covering all the functional scopes of AP203 and AP214. Based on the studies by Mohammed et al, [16], Simões et al, [17], Mohammed et al, [18], Bijnens et al, [19], Neb [20], Ding et al, [21], Wardhani et al, [22], Ramnath et al, [23], and Thomas et al, [24], they were stated that STEP AP 242 is one of the exchange formats based on Model-Based Design (MBD). It represents a computable format for various types of 3D data, including dimensions, tolerances, mating rules, surface textures, and material specifications.…”

Section: Results Of Cases Studymentioning

confidence: 99%

Advancements in CNC Machining: Rectangular Boss Feature Validation and Toolpath Precision using STEP AP242 and B-Rep Data Structure

Siti Nurul Akmal Yusof,

Raja Fatin Najiha Raja Anuar,

Saiful Bahri Mohamed

et al. 2024

ARAM

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In the context of a CNC machining application, this study proposes an alternate approach for creating toolpaths designed explicitly for machining rectangular bosses utilizing the STEP AP242 file format as a data source. The suggested methodology ensures data accuracy and integrity maintenance by extracting exact geometric information from digital models using Geometric Data Extraction (GDE) tools. The value of the Cartesian multi-point decimal point in the data structure and variations in the reference number of the Cartesian point every time a user accesses and converts to a STEP (AP203) file are two drawbacks of AP203 when compared to the widely utilized AP203 in prior technique studies. This method makes it possible to create G-code efficiently, which is necessary for managing computer numerical control (CNC) machines, by utilizing the power of STEP AP242 and GDE. The process entails finding and separating the rectangular island milling features in the STEP AP242 files, taking out critical geometric characteristics, and creating toolpaths that are optimal for CNC machining. Through this approach, the final G-code instructions are guaranteed to be precisely calibrated to consider every island feature's distinct quality while preserving overall machining efficiency. Several real-world case studies and valuable applications are investigated to confirm the efficacy of the suggested method. The results show significant increases in productivity, decreased waste material, and improved precision of CNC machining, all of which contribute to a more effective and economical production process.

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Section: Results Of Cases Studymentioning

confidence: 99%

Advancements in CNC Machining: Rectangular Boss Feature Validation and Toolpath Precision using STEP AP242 and B-Rep Data Structure

Siti Nurul Akmal Yusof,

Raja Fatin Najiha Raja Anuar,

Saiful Bahri Mohamed

et al. 2024

ARAM

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“…The techniques applied to generate alternative orientations mainly include shape feature recognition [51][52][53][54], convex hull generation [55], quaternion rotation [56,57], and triangular facet clustering [58,59]. The techniques used to select an optimal orientation mainly include deviation model [51], weighted sum model [53][54][55]57,58,60], deviation-similarity model [61], ordered weighted averaging operator [56], fuzzy aggregation operators [62,63], and double-layer priority aggregation multi-criterion decision-making [64]. Two-step approaches are generally efficient.…”

Section: Main Existing Work On Am Part Orientationmentioning

confidence: 99%

Description Logic Ontology-Supported Part Orientation for Fused Deposition Modelling

et al. 2022

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Fused deposition modelling (FDM) is well-known as an inexpensive and the most commonly used additive manufacturing process. In FDM, build orientation is one of the critical factors that affect the quality of the printed part. However, the activity of determining a build orientation for an FDM part, i.e., part orientation for FDM, usually relies on the knowledge and experience of domain experts. This necessitates an approach that enables the capture, representation, reasoning, and reuse of the data and knowledge in this activity. In this paper, a description logic (DL) ontology-supported part orientation approach for FDM is presented. Firstly, a set of top-level entities are created to construct a DL ontology for FDM part orientation. Then a DL ontology-supported alternative orientation generation procedure, a DL ontology-supported factor value prediction procedure, and a DL ontology-supported optimal orientation selection procedure are developed successively. After that, the application of the presented approach is illustrated via part orientation on six FDM parts. Finally, the effectiveness and efficiency of the presented approach are demonstrated through theoretical predictions and printing experiments and the advantages of the approach are demonstrated via an example. The demonstration results suggest that the presented approach has satisfying effectiveness and efficiency and provides a semantic enrichment model for capturing and representing FDM part orientation data and knowledge to enable automatic checking, reasoning, query, and further reuse.

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Using virtual reality to orient parts for additive manufacturing and its effects on manufacturability and experiential outcomes

Mathur,

Miller,

Simpson

et al. 2024

Additive Manufacturing

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Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making

Cited by 4 publications

References 52 publications

Advancements in CNC Machining: Rectangular Boss Feature Validation and Toolpath Precision using STEP AP242 and B-Rep Data Structure

Advancements in CNC Machining: Rectangular Boss Feature Validation and Toolpath Precision using STEP AP242 and B-Rep Data Structure

Description Logic Ontology-Supported Part Orientation for Fused Deposition Modelling

Using virtual reality to orient parts for additive manufacturing and its effects on manufacturability and experiential outcomes

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