Chetan J Parikh

US Patent:

7153576, Dec 26, 2006

Filed:

Jan 20, 2004

Appl. No.:

10/761714

Inventors:

Hua Wang - Clifton Park NY, US
Joseph Anthony Suriano - Clifton Park NY, US
Chetan Jayantilal Parikh - Newburgh IN, US
Randall Todd Myers - Pittsfield MA, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

B32B 27/36

US Classification:

428412, 428212, 428426, 4284231, 428457

Abstract:

Disclosed is a multilayer article assembly comprising (i) a coating layer comprising a block copolyestercarbonate comprising structural units derived from at least one 1,3-dihydroxybenzene and at least one aromatic dicarboxylic acid, (ii) a second layer comprising a polymer comprising carbonate structural units, (iii) an adhesive layer comprising a polyurethane, and (iv) an uncured thermoset or uncured cyclic oligomer substrate layer, wherein the coating layer is in contiguous contact with the second layer, and the adhesive layer is in contiguous contact with the second layer and the substrate layer. Also disclosed is a method for preparing said multilayer article assembly.

US Patent:

7524447, Apr 28, 2009

Filed:

Jul 20, 2004

Appl. No.:

10/895522

Inventors:

Himanshu Asthana - Evansville IN, US
M. Shoen Davis - Mt. Vernon IN, US
Hari K. Harikumar - Bangalore, IN
Martin J. Lindway - Waxhaw NC, US
Aniruddha Moitra - Kolkata, IN
Chetan J. Parikh - Newburgh IN, US
Om Prakash - Bangalore, IN
Michael T. Roland - Evansville IN, US
Robert A. Schiff - Evansville IN, US
Robert W. Walker - Mt. Vernon IN, US
Georgios S. Zafiris - Evansville IN, US

Assignee:

Sabic Innovative Plastics IP B.V.

International Classification:

B29C 47/06
B29C 47/90

US Classification:

26417312, 26417314, 26417315, 26417319, 2641741, 264260, 4251335, 425328, 425363

Abstract:

One method for making a laminate material comprising a first surface layer comprising resorcinol arylate polyester chain members and a second surface layer suitable for bonding to a substrate, comprises co-extruding a polymeric first surface layer material and a polymeric second surface layer material through a die and into the first nip of a calender roll stack comprising a first surface roll and a second surface roll that define the first nip, to form the laminate material. A nip load in the first nip of greater than or equal to about 400 N/cm can be applied to the laminate, and the laminate material can be collected from the roll stack. The first roll and the second roll can each have a surface smoothness of less than or equal to about 5 micrometers and temperatures of about 40 C. to about 150 C.

US Patent:

6485867, Nov 26, 2002

Filed:

Oct 31, 2000

Appl. No.:

09/702598

Inventors:

Jaime Navarrete - Owensboro KY
A. Jeff Chapman - Owensboro KY
Chetan J. Parikh - Owensboro KY
Roy T. Toomey - Hartford KY

Assignee:

Daramic, Inc. - Burlington MA

International Classification:

H01M 216

US Classification:

429249, 429255

Abstract:

The instant invention is directed to the use of lignin in thermoplastics (such as: ultra-high molecular weight polyethylene (UHMWPE)). In the first aspect of the invention, lignins are added to a lead acid battery separator comprising a microporous membrane including an ultra-high molecular weight polyethylene, a filler, and a processing oil. In the second aspect of the invention, lignins are used as a processing aid in thermoplastics.

US Patent:

20190221213, Jul 18, 2019

Filed:

Jun 12, 2018

Appl. No.:

16/005847

Inventors:

- Louisville KY, US
Chetan Parikh - Louisville KY, US
Rahul Jagdishbhai Rawal - Gandhinagar, IN
Saurabh Jain - Shivpuri, IN
Kishan Pandey - Kushinagar, IN

International Classification:

G10L 15/26
G10L 15/04
G10L 15/01
G10L 15/22

Abstract:

A computer implemented method for reducing the Turn around time (TAT) for transcription of audio source file, comprises steps of receiving source audio file and passing the source audio file through integrated Automatic Speech Recognition (ASR) engine and silent node detector for converting the source audio file to output text, improving the output text by machine learning, segmenting the output text file to text chunks at silent nodes, filtering and classifying the segmented text chunks to high confidence score chunks and low confidence score chunks, on basis of predetermined threshold confidence score, distributing the text chunks with low confidence score and corresponding audio chunks to multiple users for correction and merging the corrected text with the text chunks having the high confidence score to obtain a final single text output file that is synchronous with source audio file.