首页|Studies in the Area of Machine Learning Reported from Thammasat University (Mach ine Learning Assisted Evaluation of the Filament Spreading During Extrusion-base d 3d Food Printing: Impact of the Rheological and Printing Parameters)
Studies in the Area of Machine Learning Reported from Thammasat University (Mach ine Learning Assisted Evaluation of the Filament Spreading During Extrusion-base d 3d Food Printing: Impact of the Rheological and Printing Parameters)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available.According to news reporting originating from Pathum Thani, Thailand, by NewsRx correspondents, research stated, “This study explores the complex rel ationship between ink properties and process parameters in controlling material spreading during extrusion -based 3D printing, using pectin as model inks.Rheol ogical parameters significantly affect the spreading ratio, with high -concentra tion inks (above 10 wt%) exhibiting reduced spreading of the printe d filament.”
Pathum ThaniThailandAsiaCyborgsE merging TechnologiesMachine LearningThammasat University
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