1. Modeling of Insulation Paper Damage in the Assembly of a Solid Slot Winding
- Author
-
Marjan Jenko and Blaz Stefe
- Subjects
Materials science ,dielectrics and electrical insulation ,General Computer Science ,Stator ,design for experiments ,020209 energy ,02 engineering and technology ,engineering.material ,law.invention ,breakdown voltage ,Matrix (mathematics) ,design for manufacture ,law ,0202 electrical engineering, electronic engineering, information engineering ,Breakdown voltage ,General Materials Science ,Analysis of variance ,Magnet wire ,Smoothness ,business.industry ,General Engineering ,Structural engineering ,extended additive model ,Small set ,Design for manufacturability ,Electromagnetic coil ,engineering ,020201 artificial intelligence & image processing ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,lcsh:TK1-9971 - Abstract
Tight assembly of stator windings with no insulation paper damage is a manufacturing challenge. We evaluate different sets of parts according to the following parameters: magnet wire thickness, stator slot smoothness, length of the straight magnet wire after the slot end, and type and amount of insulation cap at the end of the slot. These parameters have discrete values with small differences between them. The damage criterion is the decrease of the insulation paper breakdown voltage after assembly/disassembly of parts, assembled in a small set of designed experiments. Parameter values, i.e., levels at individual experiments are set by an orthogonal experiment matrix. Repetition of each experiment provides statistical significance. Data analysis shows that the additive model alone is not sufficient due to the high correlation of the parameters’ influences. We extend the model to include interparameter influences, which we model by adding a virtual parameter. The extended additive model generates parameter values that do not degrade the insulation paper breakdown voltage within the manufacturing process. These values are verified by repetitions of the control experiment.
- Published
- 2020