Patents by Inventor Yuhua Song

Yuhua Song has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11925977
    Abstract: A method for preparing aluminum foam sandwich material by rotating friction extrusion and electromagnetic pulse hybrid process includes: step 1: preparing the filler; step 2: processing the filler to prepare a plurality of preforms; step 3: clamping and fixing the plurality of preforms to form a preform assembly; step 4: welding the panel on the surface of the preform assembly to form an non-foaming sandwich material; step 5: heating and foaming the non-foaming sandwich material through a foaming mold; step 6: insulating the foaming mold after completion of foaming; injecting cooling water into the foaming mold after completion of insulation to maintain pressure and shape, forming the aluminum foam sandwich material of the required shape. The aluminum foam sandwich material produced by this method has good interface bonding, no adverse interface reaction, high bending resistance, impact resistance, and excellent sound absorption and insulation properties.
    Type: Grant
    Filed: April 19, 2023
    Date of Patent: March 12, 2024
    Assignee: NANCHANG HANGKONG UNIVERSITY
    Inventors: Jilin Xie, Jinyang Hu, Yuhua Chen, Timing Zhang, Limeng Yin, Xiao Song, Shanlin Wang, Jiaming Ni
  • Patent number: 11754973
    Abstract: The present invention relates to the technical fields of optical imaging, microwave imaging, radar detection, sonar, ultrasonic imaging, and target detection, imaging identification and wireless communication based on media such as sound, light and electricity, and in particular, to a fast imaging method suitable for passive imaging and active imaging and application of the fast imaging method in the above fields. According to the method provided by the present invention, image field distribution corresponding to a target is achieved based on a lens imaging principle, in combination with an electromagnetic field theory, according to a target signal received by an antenna array, through the amplitude and phase weighting of a unit signal and by using an efficient parallel algorithm.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: September 12, 2023
    Inventors: Jilong Zhang, Jikang Zhang, Yiheng Zhang, Yuhua Song, Xiaolin Yu
  • Publication number: 20230097480
    Abstract: The present invention relates to the technical fields of optical imaging, microwave imaging, radar detection, sonar, ultrasonic imaging, and target detection, imaging identification and wireless communication based on media such as sound, light and electricity, and in particular, to a fast imaging method suitable for passive imaging and active imaging and application of the fast imaging method in the above fields. According to the method provided by the present invention, image field distribution corresponding to a target is achieved based on a lens imaging principle, in combination with an electromagnetic field theory, according to a target signal received by an antenna array, through the amplitude and phase weighting of a unit signal and by using an efficient parallel algorithm.
    Type: Application
    Filed: June 28, 2022
    Publication date: March 30, 2023
    Inventors: Jilong Zhang, Jikang Zhang, Yiheng Zhang, Yuhua Song, Xiaolin Yu
  • Patent number: 8660831
    Abstract: An extension of COSMO-SAC to electrolytes (eCOSMO-SAC) combines the COSMO-SAC term for short range molecule-molecule, molecule-ion and ion-ion interactions with the extended symmetric Pitzer-Debye-Hückel term for long range ion-ion interactions. The extension recognizes that like-ion repulsion and local electroneutrality govern the surface segment contacts, and introduces a dual sigma profile concept for electrolyte systems. The eCOSMO-SAC formulation predicts activity coefficients of several representative electrolyte systems.
    Type: Grant
    Filed: October 12, 2011
    Date of Patent: February 25, 2014
    Assignee: Aspen Technology, Inc.
    Inventors: Shu Wang, Yuhua Song, Chau-Chyun Chen
  • Patent number: 8370076
    Abstract: In the present invention the NonRandom Two-Liquid segment activity coefficient model system of the parent application is extended for computation of ionic activity coefficients and solubilities of electrolytes, organic and inorganic, in common solvents and solvent mixtures. The invention method and system may be applied to the chemical and/or pharmaceutical design process. In addition to the three types of molecular parameters defined for organic nonelectrolytes, i.e., hydrophobicity X, polarity Y, and hydrophilicity Z, an electrolyte parameter, E, is introduced to characterize both local and long-range ion-ion and ion-molecule interactions attributed to ionized segments of electrolytes. Successful representations of mean ionic activity coefficients and solubilities of electrolytes, inorganic and organic, in aqueous and nonaqueous solvents are presented.
    Type: Grant
    Filed: August 19, 2010
    Date of Patent: February 5, 2013
    Assignee: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Patent number: 8346525
    Abstract: Included are methods for modeling at least one physical property of a mixture of at least two chemical species. One or more chemical species of the mixture are approximated or represented by at least one conceptual segment. The conceptual segments are then used to compute at least one physical property of the mixture. An analysis of the computed physical properties forms a model of at least one physical property of the mixture. Also included are computer program products and computer systems for implementing the modeling methods.
    Type: Grant
    Filed: January 11, 2010
    Date of Patent: January 1, 2013
    Assignee: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Publication number: 20120095736
    Abstract: An extension of COSMO-SAC to electrolytes (eCOSMO-SAC) combines the COSMO-SAC term for short range molecule-molecule, molecule-ion and ion-ion interactions with the extended symmetric Pitzer-Debye-Hückel term for long range ion-ion interactions. The extension recognizes that like-ion repulsion and local electroneutrality govern the surface segment contacts, and introduces a dual sigma profile concept for electrolyte systems. The eCOSMO-SAC formulation predicts activity coefficients of several representative electrolyte systems.
    Type: Application
    Filed: October 12, 2011
    Publication date: April 19, 2012
    Applicant: Aspen Technology, Inc.
    Inventors: Shu Wang, Yuhua Song, Chau-Chyun Chen
  • Publication number: 20110046936
    Abstract: In the present invention the NonRandom Two-Liquid segment activity coefficient model system of the parent application is extended for computation of ionic activity coefficients and solubilities of electrolytes, organic and inorganic, in common solvents and solvent mixtures. The invention method and system may be applied to the chemical and/or pharmaceutical design process. In addition to the three types of molecular parameters defined for organic nonelectrolytes, i.e., hydrophobicity X, polarity Y, and hydrophilicity Z, an electrolyte parameter, E, is introduced to characterize both local and long-range ion-ion and ion-molecule interactions attributed to ionized segments of electrolytes. Successful representations of mean ionic activity coefficients and solubilities of electrolytes, inorganic and organic, in aqueous and nonaqueous solvents are presented.
    Type: Application
    Filed: August 19, 2010
    Publication date: February 24, 2011
    Applicant: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Patent number: 7809540
    Abstract: In the present invention the NonRandom Two-Liquid segment activity coefficient model system of the parent application is extended for computation of ionic activity coefficients and solubilities of electrolytes, organic and inorganic, in common solvents and solvent mixtures. The invention method and system may be applied to the chemical and/or pharmaceutical design process. In addition to the three types of molecular parameters defined for organic nonelectrolytes, i.e., hydrophobicity X, polarity Y, and hydrophilicity Z, an electrolyte parameter, E, is introduced to characterize both local and long-range ion-ion and ion-molecule interactions attributed to ionized segments of electrolytes. Successful representations of mean ionic activity coefficients and solubilities of electrolytes, inorganic and organic, in aqueous and nonaqueous solvents are presented.
    Type: Grant
    Filed: September 30, 2005
    Date of Patent: October 5, 2010
    Assignee: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Publication number: 20100114542
    Abstract: Included are methods for modeling at least one physical property of a mixture of at least two chemical species. One or more chemical species of the mixture are approximated or represented by at least one conceptual segment. The conceptual segments are then used to compute at least one physical property of the mixture. An analysis of the computed physical properties forms a model of at least one physical property of the mixture. Also included are computer program products and computer systems for implementing the modeling methods.
    Type: Application
    Filed: January 11, 2010
    Publication date: May 6, 2010
    Applicant: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Patent number: 7672826
    Abstract: Included are methods for modeling at least one physical property of a mixture of at least two chemical species. One or more chemical species of the mixture are approximated or represented by at least one conceptual segment. The conceptual segments are then used to compute at least one physical property of the mixture. An analysis of the computed physical properties forms a model of at least one physical property of the mixture. Also included are computer program products and computer systems for implementing the modeling methods.
    Type: Grant
    Filed: February 24, 2004
    Date of Patent: March 2, 2010
    Assignee: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Publication number: 20060031053
    Abstract: In the present invention the NonRandom Two-Liquid segment activity coefficient model system of the parent application is extended for computation of ionic activity coefficients and solubilities of electrolytes, organic and inorganic, in common solvents and solvent mixtures. The invention method and system may be applied to the chemical and/or pharmaceutical design process. In addition to the three types of molecular parameters defined for organic nonelectrolytes, i.e., hydrophobicity X, polarity Y, and hydrophilicity Z, an electrolyte parameter, E, is introduced to characterize both local and long-range ion-ion and ion-molecule interactions attributed to ionized segments of electrolytes. Successful representations of mean ionic activity coefficients and solubilities of electrolytes, inorganic and organic, in aqueous and nonaqueous solvents are presented.
    Type: Application
    Filed: September 30, 2005
    Publication date: February 9, 2006
    Applicant: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song
  • Publication number: 20050187748
    Abstract: Included are methods for modeling at least one physical property of a mixture of at least two chemical species. One or more chemical species of the mixture are approximated or represented by at least one conceptual segment. The conceptual segments are then used to compute at least one physical property of the mixture. An analysis of the computed physical properties forms a model of at least one physical property of the mixture. Also included are computer program products and computer systems for implementing the modeling methods.
    Type: Application
    Filed: February 24, 2004
    Publication date: August 25, 2005
    Applicant: Aspen Technology, Inc.
    Inventors: Chau-Chyun Chen, Yuhua Song