REINFORCED SHAPE OF TARGET LOCATION IN ADDITIVELY MANUFACTURED PART AND CORRESPONDING METHOD Russian patent published in 2020 - IPC B33Y10/00 

Abstract RU 2713678 C2

FIELD: machine building.

SUBSTANCE: invention relates to production of parts, namely, to structural integrity of parts manufactured by additive technology. Part includes a body formed by additive manufacturing taking into account target location of amplification areas within this body. Target location of amplification areas is specified by a hole, edge or angle in this body. Reinforced section at least partially surrounds the target location. Reinforced portion has a greater thickness than the body part located farther from the target location of the section as per measurement results of the body thickness. Also disclosed is a method of determining target location, formation of reinforced section and thermal treatment of additively manufactured part in information model, which is representation of manufactured part. Also disclosed is a machine-readable medium, on which code is stored, which is representation of part, which is physically created when executing code in computer system of additive manufacturing.

EFFECT: providing higher flexibility when manufacturing parts for individual requirements, reducing wastes and duration of design cycle with simultaneous possibility to take into account specific stresses and structural problems arising as a result of additive manufacturing process.

20 cl, 18 dwg

Similar patents RU2713678C2

Title Year Author Number
METHOD FOR PREPARING PREFABRICATED DEFECTS IN FORM OF CRACKS IN ADDITIVE MANUFACTURING OF METAL PARTS AND PREFABRICATED PART MANUFACTURED BY THIS METHOD 2020
  • Fu, Jun
  • Lei, Liming
  • Li, Yali
  • Zhou, Xinmin
  • Fu, Xin
RU2808296C1
METHOD FOR PREPARING PREVIOUSLY MANUFACTURED DEFECTS IN FORM OF GAS PORE, METHOD FOR PREPARING PREVIOUSLY MANUFACTURED PART WITH SUCH DEFECTS IN ADDITIVE MANUFACTURING OF METAL PARTS AND SUCH PREVIOUSLY MANUFACTURED PART 2020
  • Lei, Liming
  • Fu, Jun
  • Li, Yali
  • Zhou, Xinmin
  • Fu, Xin
RU2806071C1
SCHEDULING PATH FOR REDUCING TISSUE DAMAGE DURING MINIMALLY INVASIVE SURGERY 2009
  • Trovato Karen Ajrin
  • Popovich Aleksandra
RU2596882C2
PRODUCTION OF METAL COMPONENT BY ADDITIVE LASER PROCESS 2013
  • Ehtter
  • Konter
  • Khebel', Mattias
  • Shurb
RU2574536C2
THREE-DIMENSIONAL LOCALIZATION AND TRACKING FOR ADAPTIVE RADIATION THERAPY 2016
  • Han, Xiao
  • Zhou, Yan
RU2706983C2
ADAPTIVE CONTROL OF ADDITIVE PRODUCTION PROCESSES IN REAL TIME USING MACHINE LEARNING 2018
  • Mehr, Edward
  • Ellis, Tim
  • Noone, Jordan
RU2722525C1
BASED ON MECHANICAL PROPERTIES PROBE VISUALISATION 2009
  • Osadchi Daniel
  • Bar-Tal Mejr
RU2521689C2
POWER SUPPLY SYSTEMS AND THEIR APPLICATION 2016
  • Thiel, Matthew
  • Thom, Mark
  • Schefelker, Richard W.
  • Bissing, Jeff
  • Lazimy, Yaniv
  • Schaning, Matt
  • Anderson, Dave
RU2721647C2
SYSTEM AND METHOD FOR LEARNING MODELS OF PLANS OF RADIOTHERAPEUTIC TREATMENT WITH PREDICTION OF DOSE DISTRIBUTION OF RADIOTHERAPY 2017
  • Hibbard, Lyndon S.
RU2719028C1
METHOD AND DEVICE FOR MANUFACTURE BY ADDITIVE TECHNOLOGIES 2014
  • Lyungblad, Ulrik
  • Snis, Anders
RU2630096C2

RU 2 713 678 C2

Authors

Prugarevich Mikhal Tomash

Denisova Kseniya Aleksandrovna

Martin Shtefan Emanuel

Dates

2020-02-06Published

2016-09-20Filed