Lincoln Global, Inc.Download PDFPatent Trials and Appeals BoardOct 22, 20212021003229 (P.T.A.B. Oct. 22, 2021) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 15/493,569 04/21/2017 Badri K. Narayanan 2015-121-US-CIP 4975 141825 7590 10/22/2021 The Lincoln Electric Company 22801 Saint Clair Avenue Legal Department Cleveland, OH 44117 EXAMINER PAIK, SANG YEOP ART UNIT PAPER NUMBER 3761 NOTIFICATION DATE DELIVERY MODE 10/22/2021 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): desiree_cunin@lincolnelectric.com ginger_mcghee@lincolnelectric.com ip@lincolnelectric.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte BADRI K. NARAYANAN, BRUCE JOHN CHANTRY, and DAVID JOHN MUZILLA Appeal 2021-003229 Application 15/493,569 Technology Center 3700 Before JENNIFER D. BAHR, MICHAEL J. FITZPATRICK, and WILLIAM A. CAPP, Administrative Patent Judges. BAHR, Administrative Patent Judge. DECISION ON APPEAL STATEMENT OF THE CASE Pursuant to 35 U.S.C. § 134(a), Appellant1 appeals from the Examiner’s decision to reject claims 1, 3–11, and 13–20. We have jurisdiction under 35 U.S.C. § 6(b). We AFFIRM. 1 We use the word “Appellant” to refer to “applicant” as defined in 37 C.F.R. § 1.42(a). Appellant identifies the real party in interest as Lincoln Global, Inc., which is a subsidiary of The Lincoln Electric Company. Appeal Br. 3. Appeal 2021-003229 Application 15/493,569 2 CLAIMED SUBJECT MATTER Appellant’s invention is directed to “controlling a heat input for a weld or metal deposition process by monitoring thermal characteristics of a weld environment.” Spec. ¶ 2. Claims 1 and 11 are independent, and claim 11, reproduced below, is illustrative of the claimed subject matter. 11. A welding helmet, comprising: a shell, having a filtered viewing window, configured to be worn by a human welder to protect the human welder as the human welder views a weld environment through the viewing window during a welding operation performed by the human welder using a welding system; a thermal sensing device integrated with the shell and configured to sense thermal energy of the weld environment and generate thermal data based on the thermal energy during the welding operation, wherein the weld environment includes a workpiece, an electrode, and a weld puddle and wherein the thermal data includes spatial thermal gradients and temporal thermal gradients; a thermal analysis module integrated with the shell, operatively connected to the thermal sensing device, and configured to analyze the thermal data to generate control parameters; and a transmitter device integrated with the shell, operatively connected to the thermal analysis module, and configured to transmit the control parameters to the welding system, wherein the control parameters control at least one welding parameter of the welding system during the welding operation. Appeal 2021-003229 Application 15/493,569 3 REFERENCES The prior art relied upon by the Examiner is: Name Reference Date Normando US 3,370,151 Feb. 20, 1968 Kearney US 4,399,346 Aug. 16, 1983 Stava US 6,160,241 Dec. 12, 2000 Friedl US 6,734,393 B1 May 11, 2004 Kaufman US 2006/0131291 A1 June 22, 2006 Becker US 2009/0231423 A1 Sept. 17, 2009 Wills US 2012/0291172 A1 Nov. 22, 2012 Beeson US 2016/0207135 A1 July 21, 2016 REJECTIONS Claims 1, 3, 4, 6, 8–11, 13, 14, and 17–19 stand rejected under 35 U.S.C. § 103 as being unpatentable over Beeson, Normando, Kearney, and Wills. Claims 5 and 15 stand rejected under 35 U.S.C. § 103 as being unpatentable over Beeson, Normando, Kearney, Wills, and Becker. Claims 7 and 16 stand rejected under 35 U.S.C. § 103 as being unpatentable over Beeson, Normando, Kearney, Wills, and either Kaufman or Stava. Claim 20 stands rejected under 35 U.S.C. § 103 as being unpatentable over Beeson, Normando, Kearney, Wills, and Friedl. OPINION Obviousness—Beeson, Normando, Kearney, and Wills Appellant argues independent claims 1 and 11 together. Appeal Br. 15–17. In contesting the rejection of dependent claims 3, 4, 6, 8–10, 13, 14, and 17–19, Appellant relies solely on their dependence from claim 1 or claim 11. Appeal Br. 17. We decide the appeal of this rejection on the basis Appeal 2021-003229 Application 15/493,569 4 of claim 11, and claims 1, 3, 4, 6, 8–10, 13, 14, and 17–19 stand or fall with claim 11. See 37 C.F.R. § 41.37(c)(1)(iv) (permitting the Board to select a single claim to decide the appeal as to a single ground of rejection of a group of claims argued together). The Examiner finds that Beeson discloses a helmet substantially as recited in claim 11, but that “Beeson does not explicitly show the thermal data that includes spatial and temporal gradients.” Ans. 3–4. Relying on the teachings of Normando, Kearney, and Wills, the Examiner determines it would have been obvious “to adapt Beeson with the thermal sensing device that senses the thermal data that includes the spatial and temporal thermal gradients of the weld puddle that would further enable the user to monitor and control the desired welding operations to predictably yield the desired weld quality.” Ans. 4 (citing Normando, Fig. 3; Kearney, Fig. 4; Wills ¶¶ 14, 23–25). Appellant argues that Normando and Kearney discuss/illustrate what can be considered a spatial thermal gradient, but that neither says anything about temporal thermal gradients. Appeal Br. 16 (citing Normando, Fig. 3; Kearney, Fig. 4). Appellant additionally argues that “Wills is concerned with spatial filtering and temporal filtering of correlated visual and infrared image frames to form a combined dual spectrum image frame,” but “is not at all concerned with generating data representing thermal gradients, either spatial thermal gradients or temporal thermal gradients, let alone analyzing thermal data (both the spatial and temporal thermal gradients) to generate control parameters.” Appeal Br. 16. Further, Appellant disputes that “one of ordinary skill in the art could be motivated by Normando, Kearney, Appeal 2021-003229 Application 15/493,569 5 and/or Wills to make changes to Beeson that would result in the specific combination of elements of” claim 11. Appeal Br. 16 (emphasis omitted). The Examiner explains that “Normando and Kearney are applied to show thermal gradients determined by thermal sensing devices wherein Kearney further shows the sensing device with a spectral filter (40) that filters the spectral/infrared radiation.” Ans. 8. The Examiner finds that the teaching by Wills of a thermal sensing device having not only spectral filtering but also temporal filtering for monitoring and measuring thermal characteristics of a molten puddle indicates that “the thermal data regarding a molten puddle would include not only the spatial thermal gradients/characteristics but also the temporal thermal gradients/characteristics.” Ans. 8. To the extent that Appellant is arguing that the applied references do not determine, or calculate, spatial thermal gradients or temporal thermal gradients, Appellant’s argument is not commensurate with the scope of claim 11. For the reasons that follow, claim 11 does not positively recite structure that determines, or calculates, spatial thermal gradients or temporal thermal gradients, much less structure that analyzes calculated thermal gradients to generate control parameters. Claim 11 recites, in pertinent part, “a thermal sensing device . . . configured to sense thermal energy of the weld environment and generate thermal data based on the thermal energy during the welding operation, . . . wherein the thermal data includes spatial thermal gradients and temporal thermal gradients.” Appeal Br. 22 (Claims App.). Claim 11 also recites “a thermal analysis module . . . operatively connected to the thermal sensing Appeal 2021-003229 Application 15/493,569 6 device, and configured to analyze the thermal data to generate control parameters.” Appeal Br. 22 (Claims App.). Appellant’s Specification describes thermal sensing device 1515 as “a thermal imaging device that is capable of sensing infrared wavelengths of thermal energy” and “may include an infrared temperature device, a thermography device, a thermal camera, a thermocouple device, a thermistor device, a resistance temperature detector (RTD), among others.” Spec. ¶ 90.2 “The thermal data may be in the form of, for example, temperatures, spatial thermal gradients, or temporal thermal gradients.” Spec. ¶ 90. According to Appellant’s Specification, “the term ‘thermal data’ may refer to the raw thermal data from the thermal sensing device 1515 or data that is derived from the raw thermal data in some manner (e.g. pre-processed thermal data).” Spec. ¶ 96. Figure 19 of the present application “illustrates a graphical representation of an example embodiment of pre-processed thermal data 1900 generated by the thermal sensing device 1515 . . . and pre- processed by the thermal analysis module 1535.” Spec. ¶ 99. Appellant’s Specification describes Figure 19 as follows: The pre-processed thermal data 1900 shows various temperature regions (as indicated by the different shaded regions) over a portion of the surface of the workpiece 1570. The various temperature regions were generated by the thermal analysis module 1535 by applying pre-defined temperature threshold ranges to temperature values of the pixels of the raw 2 Notably, The SUMMARY OF CLAIMED SUBJECT MATTER in the Appeal Brief maps the claimed “thermal sensing device” to “thermal sensing device 1515” and cites paragraphs 89–90 of the Specification and Figures 16 and 17 as support. Appeal Br. 9; see also Appeal Br. 5 (mapping the “thermal sensing device” of claim 1 similarly, but with reference to Figures 15 and 16). Appeal 2021-003229 Application 15/493,569 7 thermal temperature data out of the thermal sensing device 1515. Six (6) temperature regions are shown in FIG. 19 as six different shaded regions. Spec. ¶ 99. By showing regions of the surface of the workpiece falling within particular pre-defined temperature threshold ranges as shaded regions, the graphic of Figure 19 shows spatial thermal gradients at a particular point in time, and temporal thermal gradients would be reflected in successive graphics of such pre-processed data at successive points in time. Appellant’s Specification and claim 11 both define the “thermal sensing device” and the “thermal analysis module” as distinct devices with distinct functions, and claim 11 recites the “thermal sensing device,” not the “thermal analysis module,” as the element that is configured to generate the thermal data including spatial thermal gradients and temporal thermal gradients. As discussed above, Appellant’s Specification describes the “thermal sensing device” as generating raw data, and processing or pre-processing of that raw thermal data is performed by the “thermal analysis module.” The Specification does not disclose that the “thermal sensing device” performs any processing or pre-processing of the thermal data, much less that the “thermal sensing device” determines or calculates spatial thermal gradients or temporal thermal gradients. In fact, we do not find in Appellant’s Specification or drawings any express disclosure that Appellant’s thermal analysis module 1535 determines or calculates quantitative values for the temperature (thermal) gradients reflected in the thermal data generated by Appellant’s thermal sensing device 1515, much less any disclosure that thermal sensing device 1515 generates, calculates, or otherwise determines spatial or temporal thermal gradient values. Rather, Appeal 2021-003229 Application 15/493,569 8 one having ordinary skill in the art would more reasonably glean from Appellant’s disclosure that Appellant’s “thermal sensing device” outputs, or generates, temperature data, which may exhibit temperature/thermal variations (i.e., gradients) over space (i.e., across the weld pool and surface area of the work piece) and time. In light of the above disclosure in Appellant’s Specification and drawings of Appellant’s “thermal sensing device,” and consistent with the ordinary and customary understanding within the art of the function of a “thermal sensing device,” such as described in paragraph 90 of the Specification, we construe “a thermal sensing device . . . configured to sense thermal energy of the weld environment and generate thermal data based on the thermal energy during the welding operation, . . . wherein the thermal data includes spatial thermal gradients and temporal thermal gradients” in claim 11 as encompassing a device that is capable of sensing thermal energy, such as temperatures or heat radiation, and generating raw thermal data that exhibits variations in thermal energy across the surface area (i.e., spatial thermal gradients) and variations in thermal energy over time (i.e., temporal thermal gradients). However, we do not construe this claim language as requiring that values for the spatial thermal gradients or temporal thermal gradients be determined or calculated, much less that the “thermal sensing device” be configured to perform such calculations. With this claim construction in mind, we turn to the prior art applied in the Examiner’s rejection. The Examiner finds that Beeson discloses, in a welding system, a helmet including an integrated thermal sensing device (image sensor 416) “that senses thermal energy of a welding environment including a Appeal 2021-003229 Application 15/493,569 9 temperature of a weld joint/puddle [of] the workpiece.” Ans. 3 (citing Beeson ¶¶ 64–67). Beeson’s processing circuitry 410 and 418 detects, through processing of the pixel data of the image from image sensor 416, welding parameters, such as local temperatures of the weld environment, during the welding operation. Beeson ¶ 64. Stated differently, image sensor 416 generates thermal data based on the thermal energy during the welding operation, as called for in claim 11. Further, Beeson’s circuitry 410 may adjust welding settings of the weld system, such as voltage, current, wire speed, etc., based on these parameters. Beeson ¶ 60. The Examiner finds that Beeson does not explicitly disclose that the thermal data generated includes spatial and temporal thermal gradients, and relies on Normando, Kearney, and Wills to make up for this deficiency. See Ans. 4. As explained in more detail below, Normando, Kearney, and Wills are all instructive as to the typical thermal conditions to be found on the surface of a workpiece during a welding operation, and, thus, are instructive as to the temperature profile to be found in the images generated by Beeson’s image sensor 416. Figure 3 of Normando “shows an isothermal diagram typical of conditions to be found upon the surface of a workpiece in which a weld is being made by means of electrode 10 moving over the surface of the workpiece.” Normando, col. 3, ll. 55–58. As Normando explains, and as illustrated in Normando’s Figure 3, “[t]he temperature gradient ahead of the electrode 10 is steeper than the temperature gradient behind the electrode, as indicated by the shape of the isothermal loops.” Normando, col. 3, ll. 62–64. This shows that the thermal data contained in images of the thermal conditions of the weld area of the surface area of a workpiece, such as those Appeal 2021-003229 Application 15/493,569 10 generated by Beeson’s image sensor 416, typically include spatial thermal gradients. Normando adds that “[i]t will be understood that the whole thermal pattern moves along the seam in substantially fixed spatial relationship to the moving electrode 10.” Normando, col. 3, ll. 64–67. This means that the local temperatures of the weld environment of the workpiece will vary over time during the welding operation; in other words, the thermal data includes temporal thermal gradients. Thus, as evidenced by the aforementioned disclosure of Normando, one of ordinary skill in the art would have expected that the thermal data from the pixel data of Beeson’s images generated by image sensor 416 during the welding operation includes both spatial thermal gradients and temporal thermal gradients. Kearney discloses that “the measured peak temperature of the weld bead varies as a function of the distance the temperature measurement is taken laterally from the weld bead center line” and that “the measured peak temperature of the weld bead varies as a function of the distance at which the measurement is taken to the rear of the weld puddle.” Kearney, col. 4, ll. 50–56 (referring to Figs. 3 and 4). Further, Figure 4 of Kearney, which “plots the bead temperature distribution in degrees Fahrenheit as shown by isothermal lines with respect to the lateral and rearward distances in inches from the weld puddle,” shows that the temperature varies across the surface area of the workpiece being welded with both lateral distance and rearward distance from the weld puddle. Kearney, col. 3, ll. 54–57. In other words, Kearney also shows that a typical temperature profile of the surface of the welding region of a workpiece includes spatial thermal gradients during the welding operation. This further reinforces that the thermal data from the Appeal 2021-003229 Application 15/493,569 11 pixel data in the images generated by image sensor 416 of Beeson during a welding operation would be expected to include spatial thermal gradients. Wills discloses a dual-spectrum (DS) digital imaging welding helmet provided with visible-spectrum (VS) digital camera 150 and infrared-spectrum (IRS) digital camera 160 configured for simultaneously generating raw VS real-time digital video image frames and raw IRS real-time digital video image frames, respectively. Wills ¶ 16. “[C]ameras 150 and 160 may provide either grayscale or color pixel information.” Wills ¶ 16. The system of Wills also includes vision engine 170, which receives raw VS and IRS real-time digital video image frames from cameras 150 and 160, respectively, and processes the frames to create DS real-time digital video image frames combining desired VS and IRS image attributes from the respective VS and IRS image frames. Wills ¶ 17; see also Wills ¶ 34 (disclosing that “each pixel of each frame of the DS real-time digital video image frames corresponds to [VS] information, [IRS] information, or a blending of [VS] information and [IRS] information”). Wills discloses that the system is configured to allow a user to select an imaging parameter, such as a color map. Wills ¶ 23. For example, a user may select a level of spatial filtering or smoothing or temporal filtering or smoothing. Wills ¶ 23. Wills discloses IRS image processor 173 for generating processed (or pre-processed) IRS video image frames from the raw IRS video image frames to enhance the usable IRS information in the video frames, such as certain thermal characteristics of the molten metal puddle, and to remove unwanted information, such as background temperature of the workpiece. Wills ¶ 25. IRS image processor 173 may perform such image processing functions as spatial filtering, thresholding, Appeal 2021-003229 Application 15/493,569 12 temporal filtering, spectral filtering, and color mapping, for example. Wills ¶ 25. The Examiner finds that the teaching by Wills of providing temporal filtering, in addition to spatial and spectral filtering, for monitoring and measuring thermal characteristics of a molten puddle, suggests that “the thermal data regarding a molten puddle would include not only the spatial thermal gradients/characteristics but also the temporal thermal gradients/characteristics.” Ans. 8. Appellant does not specifically contest this finding, much less provide evidence or persuasive technical reasoning to refute it. In light of the above, the combined teachings of Beeson, Normando, Kearney, and Wills support, by a preponderance of the evidence, a finding that one of ordinary skill in the art would have expected that the thermal data from the pixel data of Beeson’s images generated by image sensor 416 during the welding operation typically would include both spatial thermal gradients and temporal thermal gradients. Thus, these references establish the requisite factual basis and rational underpinning to support the Examiner’s determination that it would have been obvious to provide “Beeson with the thermal sensing device that senses the thermal data that includes the spatial and temporal thermal gradients of the weld puddle that would further enable the user to monitor and control the desired welding operations to predictably yield the desired weld quality” (Ans. 4). For the above reasons, Appellant fails to apprise us of error in the Examiner’s determination that the subject matter of claim 11 would have been obvious. Accordingly, we sustain the rejection of claim 11, and of Appeal 2021-003229 Application 15/493,569 13 claims 1, 3, 4, 6, 8–10, 13, 14, and 17–19, which fall with claim 11, as being unpatentable over Beeson, Normando, Kearney, and Wills. Obviousness— Beeson, Normando, Kearney, and Wills in view of any of Becker, Kaufman, Stava, or Friedl In contesting the rejections of dependent claims 5, 7, 15, 16, and 20, Appellant relies solely on the arguments presented for independent claims 1 and 11, adding only that the additional references do not remedy the purported deficiencies of Beeson, Normando, Kearney, and Wills. See Appeal Br. 17–18. Appellant’s arguments fail to apprise us of any deficiencies in the combination of Beeson, Normando, Kearney, and Wills vis-à-vis claims 1 and 11, for the reasons discussed above, and, likewise, fail to apprise us of error in the rejections of claims 5, 7, 15, 16, and 20. Accordingly, we sustain the rejection of claims 5 and 15 as being unpatentable over Beeson, Normando, Kearney, Wills, and Becker; the rejection of claims 7 and 16 as being unpatentable over Beeson, Normando, Kearney, Wills, and either Kaufman or Stava; and the rejection of claim 20 as being unpatentable over Beeson, Normando, Kearney, Wills, and Friedl. CONCLUSION The Examiner’s rejections are AFFIRMED. Appeal 2021-003229 Application 15/493,569 14 DECISION SUMMARY In summary: Claim(s) Rejected 35 U.S.C. § Reference(s)/Basis Affirmed Reversed 1, 3, 4, 6, 8– 11, 13, 14, 17–19 103 Beeson, Normando, Kearney, Wills 1, 3, 4, 6, 8– 11, 13, 14, 17–19 5, 15 103 Beeson, Normando, Kearney, Wills, Becker 5, 15 7, 16 103 Beeson, Normando, Kearney, Wills, Kaufman 7, 16 7, 16 103 Beeson, Normando, Kearney, Wills, Stava 7, 16 20 103 Beeson, Normando, Kearney, Wills, Friedl 20 Overall Outcome 1, 3–11, 13– 20 TIME PERIOD FOR RESPONSE No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a). See 37 C.F.R. § 1.136(a)(1)(iv). AFFIRMED Copy with citationCopy as parenthetical citation