Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design

Ivan Matin; Miodrag Hadzistevic; Djordje Vukelic; Michal Potran; Tomaz Brajlih

doi:10.1016/j.cmpb.2017.05.004

Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design

Comput Methods Programs Biomed. 2017 Jul:146:27-35. doi: 10.1016/j.cmpb.2017.05.004. Epub 2017 May 19.

Authors

Ivan Matin¹, Miodrag Hadzistevic², Djordje Vukelic², Michal Potran³, Tomaz Brajlih⁴

Affiliations

¹ University of Novi Sad, Faculty of Technical Sciences, Department of Production Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia. Electronic address: matini@uns.ac.rs.
² University of Novi Sad, Faculty of Technical Sciences, Department of Production Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia.
³ University of Novi Sad, Medical Faculty, Department of Dentistry, Hajduk Veljkova 12, 21000 Novi Sad, Serbia.
⁴ University of Maribor, Faculty of Mechanical Engineering, Institute for Production Engineering, Smetanova 17, 2000 Maribor, Slovenia.

PMID: 28688487
DOI: 10.1016/j.cmpb.2017.05.004

Abstract

Background and objectives: Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the problems using an expert system. Despite substantial research progress in the design of experts systems for the simulation model design and manufacturing have insufficiently considered the specifics of casting in dentistry, especially the need for further CAD, RE, CAE for the estimation of casting parameters and the control of the casting machine. The novel expert system performs the following: CAD modeling of the simulation model for casting, fast modeling of gate design, CAD eligibility and cast ability check of the model, estimation and running of the program code for the casting machine, as well as manufacturing time reduction of the metal substructure.

Methods: The authors propose an integration method using common data model approach, blackboard architecture, rule-based reasoning and iterative redesign method. Arithmetic mean roughness values was determinated with constant Gauss low-pass filter (cut-off length of 2.5mm) according to ISO 4287 using Mahr MARSURF PS1. Dimensional deviation between the designed model and manufactured cast was determined using the coordinate measuring machine Zeiss Contura G2 and GOM Inspect software.

Results: The ES allows for obtaining the castings derived roughness grade number N7. The dimensional deviation between the simulation model of the metal substructure and the manufactured cast is 0.018mm. The arithmetic mean roughness values measured on the casting substructure are from 1.935µm to 2.778µm.

Conclusions: The realized developed expert system with the integrated database is fully applicable for the observed hardware and software. Values of the arithmetic mean roughness and dimensional deviation indicate that casting substructures are surface quality, which is more than enough and useful for direct porcelain veneering. The manufacture of the substructure shows that the proposed ES allows the improvement of the design process while reducing the manufacturing time.

Keywords: CAD/CAE; Casting; Expert system.

MeSH terms

Crowns*
Dental Casting Technique*
Dental Porcelain
Dental Prosthesis Design*
Expert Systems*
Metals
Surface Properties

Substances

Metals
Dental Porcelain