Chen Chen

US Patent:

20200173012, Jun 4, 2020

Filed:

Feb 6, 2020

Appl. No.:

16/783798

Inventors:

- Latrobe PA, US
Ronald Penich - Greensburg PA, US
Chen Chen - Latrobe PA, US
Zhenyu Liu - Greensburg PA, US

International Classification:

C23C 14/06
C23C 14/32
C23C 28/00
C23C 28/04
C23C 14/02

Abstract:

In one aspect, coatings are described herein employing composite architectures providing high aluminum content and high hardness for various cutting applications. For example, a coated cutting tool comprises a substrate and a coating comprising a refractory layer deposited by physical vapor deposition adhered to the substrate, the refractory layer comprising a plurality of sublayer groups, a sublayer group comprising a titanium aluminum nitride sublayer and an adjacent composite sublayer comprising alternating nanolayers of titanium silicon nitride and titanium aluminum nitride.

US Patent:

20200033163, Jan 30, 2020

Filed:

Oct 3, 2019

Appl. No.:

16/591987

Inventors:

- Pittsburgh PA, US
Christopher HARRISON - Pittsburgh PA, US
Gierad LAPUT - Pittsburgh PA, US
Sudershan BOOVARAGHAVAN - Pittsburgh PA, US
Chen CHEN - Pittsburgh PA, US
Abhijit HOTA - Pittsburgh PA, US
Bo Robert XIAO - Pittsburgh PA, US
Yang ZHANG - Pittsburgh PA, US

International Classification:

G01D 9/00
H04W 4/38
H04L 29/08
G01D 5/00
G06N 20/00

Abstract:

A sensing system includes a sensor assembly and a back end server system. The sensor assembly includes a collection of sensors in communication with a control circuit. The sensors are each configured to sense one or more physical phenomena in an environment of the sensor assembly. The control circuit of the sensor assembly is configured to identify one or more selected sensors of the collection of sensors whose data corresponds to an event occurring in the environment of the sensor assembly and transmit data to the back end server system. The back end server system is configured to generate a first order virtual sensor by training a machine learning model to detect the event based on the data from at least one of the selected sensors and detect the event using the trained first order virtual sensor and data from the selected sensors.

US Patent:

20180347027, Dec 6, 2018

Filed:

May 31, 2017

Appl. No.:

15/610110

Inventors:

- Latrobe PA, US
Ronald Penich - Greensburg PA, US
Chen Chen - Latrobe PA, US
Zhenyu Liu - Greensburg PA, US
Nicholas F. Waggle - Derry PA, US

International Classification:

C23C 14/06

Abstract:

In one aspect, coatings are described herein employing composite architectures providing high aluminum content and high hardness for various cutting applications. For example, a coated cutting tool comprises a substrate and a coating comprising a refractory layer deposited by physical vapor deposition adhered to the substrate, the refractory layer comprising a plurality of sublayer groups, a sublayer group comprising a titanium aluminum nitride sublayer and an adjacent composite sublayer comprising alternating nanolayers of titanium silicon nitride and titanium aluminum nitride.

US Patent:

20180306609, Oct 25, 2018

Filed:

Apr 24, 2018

Appl. No.:

15/961537

Inventors:

- Pittsburgh PA, US
Christopher Harrison - Pittsburgh PA, US
Gierad Laput - Pittsburgh PA, US
Sudershan Boovaraghavan - Pittsburgh PA, US
Chen Chen - Pittsburgh PA, US
Abhijit Hota - Pittsburgh PA, US
Bo Robert Xiao - Pittsburgh PA, US
Yang Zhang - Pittsburgh PA, US

International Classification:

G01D 9/00
G06N 99/00
G01D 5/00

Abstract:

A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

US Patent:

20160208186, Jul 21, 2016

Filed:

Jan 18, 2016

Appl. No.:

14/997808

Inventors:

Alan M. Schilowitz - Highland Park NJ, US
Man Kit Ng - Basking Ridge NJ, US
David J. Baillargeon - Cherry Hill NJ, US
Chen Chen - State College PA, US
Harry R. Allcock - State College PA, US
Andrew R. Hess - York PA, US

Assignee:

ExxonMobil Research and Engineering Company - Annandale NJ

International Classification:

C10M 137/16
C07F 9/6593
C10M 169/04
C10M 107/02
C10M 137/10

Abstract:

A method for improving wear control in an engine or other mechanical component lubricated with a lubricating oil by using as the lubricating oil a formulated oil. The formulated oil has a composition that includes a lubricating oil base stock as a major component; and at least one phosphazene represented by the formulaas a minor component. In the above formula, Q is nitrogen, sulfur or oxygen; a is a value from about 2 to about 6, c is a value from about 2 to about 6, e is a value from about 2 to about 6, g is a value from about 2 to about 6, i is a value from about 2 to about 6, and k is a value from about 2 to about 6; b is a value of 2a+q, d is a value of 2c+r, f is a value of 2e+s, h is a value of 2g+t, j is a value of 2i+u, and l is a value of 2k+v; q, r, s, t, u and v are independently a value of 0 or −2; with the proviso that not all of a, c, e, g, i and k are the same value. A lubricating oil having a composition that includes a lubricating oil base stock as a major component; and at least one phosphazene represented by the above formula as a minor component. The lubricating oil is useful in internal combustion engines.