A human-assisted knowledge extraction method for machining operations

Enabling cognitive manufacturing through automated on-machine measurement planning and feedback

“…The quasi-standard of rigid, hierarchical control architectures in today's industry has been unable to cope with the new challenges successfully, since the production schedules and plans are known to become ineffective after a short time on the shopfloor [1]. Established production planning and control systems are therefore vulnerable to abrupt changes and unforeseen events in production processes and do not allow a real-time computation of sophisticated decision models [2][3][4][5][6]. Furthermore, with the increased size and scope of central-planning-based manufacturing execution systems, the structural complexity of these systems is growing rapidly.…”

Porosity, Surface Quality, Microhardness and Microstructure of Selective Laser Melted 316L Stainless Steel Resulting from Finish Machining

“…Fabricated components are expected to have a smooth surface with lower surface roughness in the conventional manufacturing process [35,36], and AM should be able to offer the same quality in order to become an alternative approach in the Although selective laser melting is an emerging approach due to its many advantages when compared to traditional manufacturing processes, one of the limitations is to produces a surface quality that is not within an acceptable range [34]. Fabricated components are expected to have a smooth surface with lower surface roughness in the conventional manufacturing process [35,36], and AM should be able to offer the same quality in order to become an alternative approach in the manufacturing industry. Average surface roughness (Ra) of SLMed as-built 316L stainless steel is approximately 7 ± 1 µm, as shown in Figure 6.…”

Zadehian Paradigms for Knowledge Extraction in Intelligent Manufacturing

“…The data of CV and PM plotted in Fig. 7 are corresponds to that of Ullah & Harib 2005b. As seen from Fig.…”

“…On the other hand, CV can be defined using a function φ(Vc,f,ap,ae,r ε ). See Ullah & Harib 2005a;2005b for more details. The logical setting proposed for extracting rules for PMs and CVs is as follows: Based on logical setting in (8), a JAVA™ based computing tool has been developed (Ullah & Harib, 2005b) to extract rules.…”

“…Granularity means formation of granules (words or phrases) assigned un-sharply to a set of values or attributes. To known more about Zadeh's philosophy, refer to Zadeh, 1965;1975;2002;2005a, 2005b. On of the mathematical entities underlying Granularity and Partiality is fuzzy number (Dubois & Prade, 1978).…”