公开(公告)号：US11999816B2

公开(公告)日：2024-06-04

申请号：US16980084

申请日：2019-03-12

申请人： BASF SE

发明人： Frank Prissok ,  Elmar Poeselt ,  Dirk Kempfert ,  Lionel Gehringer ,  Juergen Weiser ,  Matthias Goldbeck

IPC分类号： C08G18/50 ,  C08F4/80 ,  C08G18/76 ,  C08J11/04

CPC分类号： C08G18/5045 ,  C08F4/80 ,  C08G18/7671 ,  C08J11/04 ,  C08J2375/04

摘要： The present invention relates to a process for producing a thermoplastic polyurethane reacting at least one thermoplastic polyurethane (TPU-1) or a polyurethane mixture comprising a thermoplastic polyurethane (TPU-1) with at least one compound (V1) comprising two hydroxyl groups to obtain a mixture (G-a) comprising a thermoplastic polyurethane (TPU-2) and the reaction of the mixture (G-a) with a mixture (G-b) comprising an isocyanate composition (ZI) comprising at least one diisocyanate and optionally and a polyol composition (ZP) comprising at least one polyol (P2) to obtain a thermoplastic polyurethane (TPU target), wherein the proportion of the employed components (ZI) and (ZP) is matched to the hard segment content of the employed thermoplastic polyurethane (TPU-1), (V1) and the hard segment content of the thermoplastic polyurethane (TPU target). The invention further relates to a thermoplastic polyurethane obtained or obtainable by such a process and to the use thereof for producing extruded, injection molded and pressed articles as well as foams, cable sheathings, hoses, profiles, drive belts, fibers, nonwovens, films, moldings, soles, sporting goods, shoes, plugs, housings, damping elements for the electricals industry, automotive industry, mechanical engineering, 3D printing, medicine and consumer goods.

公开(公告)号：US20240182661A1

公开(公告)日：2024-06-06

申请号：US18550450

申请日：2022-03-10

申请人： BASF SE

发明人： Lisa Marie Schmidt ,  Matthias Goldbeck ,  Uwe Keppeler ,  Franziska Dennhardt ,  Theresa Huelsmann ,  Florian Tobias Rapp

IPC分类号： C08J9/224 ,  B29B7/48 ,  B29B9/06 ,  B29B9/12 ,  B29B9/16 ,  B29K21/00 ,  B29K75/00 ,  B29K105/04 ,  C08J9/12 ,  C08J9/18

CPC分类号： C08J9/224 ,  B29B9/065 ,  B29B9/12 ,  B29B9/16 ,  C08J9/122 ,  C08J9/18 ,  B29B7/48 ,  B29B2009/163 ,  B29K2021/003 ,  B29K2075/00 ,  B29K2105/04 ,  C08J2201/03 ,  C08J2203/06 ,  C08J2375/08

摘要： A process for producing foam particles from expanded thermoplastic elastomer involves (a) mixing a thermoplastic elastomer melt with a blowing agent in an extruder; (b) pressing the thermoplastic elastomer melt mixed with the blowing agent through a die plate into a pelletizing chamber; and (c) comminuting the thermoplastic elastomer melt pressed through the die plate into individual pellets. A liquid flows through the pelletizing chamber, and the pressure and temperature of the liquid are chosen such that the pellets are expanded to a desired degree in the liquid by the blowing agent and solidify to form foam particles. Additionally, the liquid in the pelletizing chamber contains wax which accumulates on the surface of the pellet during the cutting and expansion in the pelletizing chamber; and/or after separation from the liquid and drying of the foam particles, a wax is applied to the foam particles of expanded thermoplastic elastomer.

公开(公告)号：US20240257331A1

公开(公告)日：2024-08-01

申请号：US18578474

申请日：2022-07-13

申请人： BASF SE

发明人： Ali Bina ,  Mario Ramos Da Silva Junior ,  Tobias Reichel ,  Lisa Marie Schmidt ,  Hergen Schultze ,  Matthias Goldbeck ,  Benjamin Chikhi ,  Rainer Friehmelt ,  Patrick Graefen ,  Juergen Ettmueller

IPC分类号： G06T7/00 ,  G06T7/11

CPC分类号： G06T7/0004 ,  G06T7/11 ,  G06T2207/10152 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30164

摘要： The invention refers to a system (100) for assessing the quality of a physical product (111). A device (110) provides visual image data of the product and comprises a) a lighting setup comprising a lighting device (112) adapted for lighting the product and b) a camera (113) adapted for detecting light from the lighting device to generate visual image data of the product based on the detected light. An apparatus (120) assesses the quality of the product and comprises a) a providing unit (121) adapted to provide a trained machine learning based assessment model, wherein the model has been trained based on historical visual image data, and wherein the trained assessment model is adapted to determine a quality of the product, and b) an assessment unit (123) adapted to assess a quality of the product by applying the trained assessment model to the visual image data.