NN Modelling of the Energy Consumption in The Welding Process

Abstract

Energy consumption is different for various technological processes used in manufacturing (cutting, plastic deformation, sintering, welding, etc.) and nowadays is becoming a more and more important issue to be considered when planning certain manufacturing processes. Related to this, when releasing a quotation for a given product request coming for the market, it is important to have a tool enabling to evaluate the estimated energy consumption that will be required. This paper proposes a method to predict the consumption of energy in the welding process depending on the same main parameters of the process. The method is based on causal identification and on the NN modelling technique. Method application is sampled in the case of a real database including information concerning pipes welding. The method proves to be fast and delivers results of reasonable precision.

Method for holistic optimization of the manufacturing process numerically described as low-dimensional database

“…In both cases, the solution is to use a causal model defined by fewer condition-variables. This can be realized by successively and repetitively applying a couple of algorithms [19] namely: i) algorithm for generation of the smaller clusters and ii) algorithm for evaluation of the modelling potential of cluster.…”

“…ii) The algorithm for evaluation of the modelling potential of cluster For evaluating the modeling potential of a variables cluster, a specific algorithm has been developed [19]. The algorithm purpose is to assess the potential of a given cluster of cause-variables for modeling the considered result-variable.…”