1. Field of the Invention
The present invention generally relates to an algorithm and method to modify the feeder movement of a sewing machine. More particularly, the present invention relates to an algorithm and method to modify the feeder movement of a sewing machine based on calibration data to achieve a desired stitch over the configuration and operating range of the machine.
2. Description of the Related Art
A modern sewing machine is able to produce a variety of stitches and seams on demand. During normal operation, the feeding of the fabric into the machine is controlled by a feed dog which is driven by a mechanism. The fabric is moved beneath the sewing needle by the movement of the feed dog.
The sewing machine includes a selection of stitches and seams. A seam is an entity composed of a number of stitches. Advanced sewing machines provide tools for creating new stitch elements by combining existing stitches, or seams. Data for each individual stitch, or seam can be reproduced as a graphic representation on a display, which may be integrated with the sewing machine.
The sewing machine is provided with a processor, a control program, and a memory. The control program may be integral with the processor or stored in memory. The memory is accessible by the processor and may either be accommodated within the machine or may be external. Data for each individual stitch, or seam, is stored in a database within the memory. A display may be provided upon which the graphic elements representing the stitch, or seams, may be displayed to the user.
The user wishes the actual seam that is sewn upon the fabric to look like the stitches selected. During a sewing operation, the fabric is moved across the stitch plate and beneath the reciprocating needle by a feed dog. The feeding of the fabric beneath the sewing needle is critical to achieve the intended stitch size and shape. The feed dog is driven by a feeding mechanism which is synchronized with the needle movement. Many factors effect the actual movement of the fabric relative to the movement of the feed dog. Feeding errors commonly occur in the form of slippage or uneven movement between the feed dog and fabric. The type and magnitude of feeding error is dependent upon many factors. The end result of all feeding errors in passing the fabric beneath the needle results in stitches or seams that are misshapen, or of improper size, and that are not what the user intended.
Due to the problems above in the feeding of fabric to achieve an expected and consistent seam, it would be advantageous to provide an algorithm and method to predict and compensate for feeding errors. Such an algorithm and method would provide for modified feeder movement to achieve the required fabric positioning during the sewing operation. The algorithm and method would insure a consistent stitch size over a variety of fabrics, threads, and operating conditions. It is thus to such a feeder movement compensation algorithm and method that the present invention is primarily directed.
The disadvantages of the prior art are overcome by the present invention which, in one aspect, is a feeder movement compensation algorithm for use within a sewing machine. The sewing machine configured with a reciprocating needle and thread, and including a stitch plate upon which fabric to be sewn is positioned beneath the needle and thread. The machine also includes a feeder mechanism driving a feed dog thru a movement. The feed dog movement pushes the fabric along the stitch plate and the reciprocating needle and thread form stitches in the fabric.
The compensation algorithm includes the sewing machine having a stitch cycle wherein, the needle and thread pierce the fabric to be sewn. The needle then retracts leaving the thread piercing the fabric. The fabric is then moved along the stitch plate by the feed dog movement to a new position beneath the needle, thereby completing the stitch cycle. During the stitch cycle, the feed dog movement completes at least one feeder stroke. The feeder stroke includes a portion of the feed dog extending above the stitch plate and moving along the direction of feed. The feeder stroke thus pushes the fabric along the stitch plate.
The feeder stroke includes a feeder stroke length, a feeder stroke height, and a feeder stroke path. The compensation algorithm calculates a theoretical feeder stroke length based upon a desired stitch. The compensation algorithm then calculates a modified feeder stroke length using the theoretical feeder stroke length and at least one feeder calibration data element. The modified feeder stroke length is then performed by the feed dog during the stitch cycle to form the stitch.
In another aspect of the present invention, the feeder calibration data element includes an operator input data element. The operator input date element including at least one of; a stitch selection, the feed dog type, a presser foot type, a presser foot pressure, a desired speed of feeding, the feeding direction, the type of needle, the needle geometry, the type of fabric, the weight of fabric, the type of thread, the weight of thread, the age of the machine.
In yet another aspect of the present invention, the feeder calibration data element includes a machine measured data element. The machine measured data element including at least one of; a temperature, a thread tension, the feeder mechanism torque, a needle mechanism torque; the feeder mechanism speed, a presser foot type, a presser foot pressure, a presser foot height, a time of operation of the machine, an optical measurement.
In yet another aspect of the present invention, the feeder calibration data element includes a memory stored data element. The memory stored data element including feeding error data relative to at least one of; the feed dog type, presser foot type, a presser foot pressure, feeding speed, feeding direction, needle type, needle geometry, fabric type, fabric weight, thread type, thread weight, machine age.
In yet another aspect of the present invention, the feeder calibration data element includes a memory stored data element. The memory stored data element including feeding error data relative to at least one of; the ambient temperature, thread tension, feeder mechanism power, needle mechanism power; feeder mechanism speed, presser foot pressure, a time of operation of the machine, forward vs. reverse feed balance.
In yet another aspect of the present invention, a plurality of stitches are performed to form a seam. The compensation algorithm calculates a first modified feeder stroke length for one or more discrete stitches within the seam. The compensation algorithm calculates a second modified feeder stroke length for the remaining stitches within the seam.
In yet another aspect of the present invention, the compensation algorithm calculates a modified feeder stroke height using the theoretical feeder stroke length and at least one feeder calibration data element. A memory stored data element includes feeder calibration data relative to feeder stroke height. The modified feeder stroke height is then performed by the feed dog during the stitch cycle to form the stitch.
In yet another aspect of the present invention, the compensation algorithm calculates a modified feeder stroke path using the theoretical feeder stroke length and at least one feeder calibration data element. A memory stored data element includes feeder calibration data relative to feeder stroke path. The modified feeder stroke path is then performed by the feed dog during the stitch cycle to form the stitch.
In yet another aspect of the present invention, a method of feeder movement compensation for use within a sewing machine is presented. The sewing machine configured with a reciprocating needle and thread, and including a stitch plate upon which fabric to be sewn is positioned beneath the needle and thread. The machine also includes a feeder mechanism driving a feed dog thru a movement. The feed dog movement pushes the fabric along the stitch plate and the reciprocating needle and thread form stitches in the fabric.
The compensation algorithm includes the sewing machine having a stitch cycle wherein, the needle and thread pierce the fabric to be sewn. The needle then retracts leaving the thread piercing the fabric. The fabric is then moved along the stitch plate by the feed dog movement to a new position beneath the needle, thereby completing the stitch cycle. During the stitch cycle, the feed dog movement completes at least one feeder stroke. The feeder stroke includes a portion of the feed dog extending above the stitch plate and moving along the direction of feed. The feeder stroke thus pushes the fabric along the stitch plate.
The feeder stroke includes a feeder stroke length, a feeder stroke height, and a feeder stroke path. The compensation algorithm includes the step of calculating the theoretical feeder stroke length based upon a desired stitch. The compensation algorithm also includes the step of calculating a modified feeder stroke length using the theoretical feeder stroke length and at least one feeder calibration data element. The modified feeder stroke length is then performed by the feed dog during the stitch cycle to form the stitch.
In yet another aspect of the present invention, the feeder calibration data element includes an operator input data element. The operator input data element including at least one of; a stitch selection, the feed dog type, a presser foot type, a presser foot pressure, a desired speed of feeding, the feeding direction, the type of needle, the needle geometry, the type of fabric, the weight of fabric, the type of thread, the weight of thread, the age of the machine.
In yet another aspect of the present invention, the feeder calibration data element includes a machine measured data element. The machine measured data element including at least one of; a temperature, a thread tension, the feeder mechanism torque, a needle mechanism torque; the feeder mechanism speed, a presser foot type, a presser foot pressure, a presser foot height, a time of operation of the machine, an optical measurement.
In yet another aspect of the present invention, the feeder calibration data element includes a memory stored data element. The memory stored data element including feeding error data relative to at least one of; the feed dog type, presser foot type, a presser foot pressure, feeding speed, feeding direction, needle type, needle geometry, fabric type, fabric weight, thread type, thread weight, machine age.
In yet another aspect of the present invention, the feeder calibration data element includes a memory stored data element. The memory stored data element including feeding error data relative to at least one of; the ambient temperature, thread tension, feeder mechanism power, needle mechanism power; feeder mechanism speed, presser foot pressure, a time of operation of the machine, forward vs. reverse feed balance.
In yet another aspect of the present invention, a plurality of stitches are performed to form a seam. The step of the compensation algorithm calculating a modified feeder stroke length includes the step of calculating a first modified feeder stroke length for one or more discrete stitches within the seam, and the step of calculating a second modified feeder stroke length for the remaining stitches within the seam.
In yet another aspect of the present invention, the compensation algorithm includes the step of calculating a modified feeder stroke height. The modified feeder stroke height calculated using the theoretical feeder stroke length and at least one feeder calibration data element. The memory stored data element includes feeder calibration data relative to feeder stroke height. And the step of forming a stitch includes performing the modified feeder stroke height.
In yet another aspect of the present invention, the compensation algorithm calculates a modified feeder stroke path. The modified feeder stroke path calculated using the theoretical feeder stroke length and at least one feeder calibration data element. The memory stored data element includes feeder calibration data relative to a feeder stroke path. And the step of forming a stitch includes performing the modified feeder stroke path.
These and other aspects of the invention will become apparent from the following description of the preferred embodiments taken in conjunction with the following drawings. As would be obvious to one skilled in the art, many variations and modifications of the invention may be effected without departing from the spirit and scope of the novel concepts of the disclosure.
The algorithm and method for feeder movement compensation calculates and then compensates for feeding errors to achieve the desired seam. The algorithm and method provides for modified feeder movement to achieve the required fabric positioning during the sewing operation. The feeder movement compensation results in the desired stitch size over a variety of fabrics, threads, and operating conditions.
With reference to the figures in which like numerals represent like elements throughout,
As depicted in
As depicted in
As depicted in
As depicted in
As depicted in
As depicted in
As depicted in
As depicted in
As depicted in
Many factors affect the feeder stroke length vs actual stitch or feeding length; the speed with which the fabric is fed by the feeder, the temperature of the fabric and feeder mechanism, the weight of the fabric per unit area, the thickness of the fabric, the stiffness of the fabric, the thread count of the fabric, the weight of the thread per inch, the stiffness of the thread, and the diameter of the thread. For example, a thick canvas fabric will behave differently than a sheer cotton fabric. Stated another way, the amount of fabric moved beneath the needle for a given feeder stroke length for a thick canvas fabric will be different than that of the sheer cotton. The canvas and cotton fabrics each have a different density, stiffness, friction with the feeder and stitch plate, and a differing thread tension during the sewing cycle.
The number and configuration of feed teeth on the feeder will result in different feeding lengths. A feeder configuration may exhibit a more idealized feed length with some fabrics than with others. Yet another variable may be the total time which the sewing machine has been in operation. The feeder mechanism may wear over time resulting in a change in actual stitch length when compared to the feeder stroke length.
Another variable that may affect the feeder stroke length vs the actual feeding length is the presser foot design and pressure. Different models of presser feet in combinations with the variables above may result in different actual feed lengths. The pressure which the presser foot exerts upon the fabric surface will also affect the feeding. As yet another variable, a machine may be equipped with dual feeding, i.e. a top feeder may be added, or a machine may only use top feeding.
One example dataset of the actual feeding length vs the feeder stroke length is plotted in the diagram of
In one embodiment of present invention, to compensate for the feeding error within the sewing machine processor, the sewing machine designer must gather knowledge of the error over the various operating and configuration variables encountered. The knowledge may be called feeder calibration data. The feeding error for a given set of configuration and operating variables is found by feeding with a theoretical feeder stroke length (tl) and then measuring the practical feeding length (pl). The theoretical feeder stroke length is calculated assuming perfect feed during the feeder stroke wherein the fabric movement along the stitch plate will be equal to the feeder stroke length. The feeding error (fe) is then equal to the difference in the theoretical feeder stroke length and the practical length. fe=tl−pl (mm).
As will be appreciated by those skilled in the art, the feeder mechanism is commonly driven with a stepper motor having a finite number of steps per revolution. With knowledge of the feeder mechanism, the feeder stroke length resulting from each rotational step of the stepper motor is known. By knowing the feeder stroke per step resolution X (mm/step) it is possible to calculate the number of steps that should be used for a given theoretical feeder stroke length tl. The theoretical stroke length divided by the feeder stroke per step resolution X will yield the number of steps that should be used to feed tl mm. N=tl/X However, with knowledge of the feeding error fe, to achieve the desired practical feed length, only (tl+fe)/X steps shall be used. As will be appreciated by those skilled in the art, other drive components may be used within the feeder mechanism such as linear actuators, rotary actuators, electric motors of all types, and encoders.
As one Example: the theoretical feeder stroke length is initially calculated to be 6 mm for a desired seam. tl=6 mm The measured practical stitch length that results from this feeder stroke is 6.3 mm. pl=6.3 mm Therefore the feeding error fe=tl−pl gives fe=6−6.3 mm=−0.3 mm feeding error. The feeder stroke per step resolution of the device is X=0.1 mm/step. To achieve the desired stitch length, the machine should use a modified feeder stroke length of (tl+fe)/X=(6+(−0.3))/0.1=57 steps. Without knowledge of the feeder error, 60 steps of rotation would have been used resulting in stitches 6.3 mm long.
In another embodiment of the present invention, by predicting the feeding error for a given set of variables we may compensate for the feeding error across the whole seam. This is far superior when compared to correcting the stitch length at some localized stitch along the seam. When the seam desired does not result in a whole number of steps of the stepper motor per stitch, successive stitches within the seam may use a different number of steps to achieve the desired average stitch length. Referencing the example above, if the feed error is −0.25 mm. The feeder drive would then need a modified feeder stroke length of 57.5 steps. Incremental steps are difficult with a stepper motor drive mechanism. The machine processor will instead use 57 steps, then 58 steps, for successive stitches along the seam.
In another embodiment of the present invention, to obtain feeder calibration data for a given configuration, the first thing is to balance the machine mechanically by adjusting the machine so that for a certain stitch length, for example 3 mm, the forward and the backward feeder stroke lengths are exactly the same. The next step is to create an arbitrary number of seams that are sewn forward and reverse with a predefined fabric, thread, needle, presser foot and speed. The seams consist of Y stitches where all stitches have the same length within the seam. The seams to be sewn are presented in Table 1, and Table II presents the resulting forward and reverse feed errors.
The feeder calibration data of Tables I and II is then stored within the machine memory. During machine operation, the feeding errors are used as input in a feed compensation algorithm executed as part of the machine control program by the machine processor to calculate a modified feeder stroke length.
In another embodiment of the present invention, feeder calibration data may be obtained for any of the configurations and variables identified above for use in the feed compensation algorithm. Some variables above may be studied singularly, and their individual effect on feeding error measured. The effect of other variables may be measured as a group, and the feeding error correction for the group of variables used in the compensation algorithm.
In another embodiment of the present invention, the feeder calibration data used within the feed compensation algorithm will be at least one of three types; data input by the machine operator, data as measured by the sewing machine processor, or data as input by the machine manufacturer and stored in the machine memory. Examples of data input by the machine operator or user may include; a stitch selection, the feed dog type, a presser foot type, a presser foot pressure, a desired speed of feeding, the feeding direction, the type of needle, the needle geometry, the type of fabric, the weight of fabric, the type of thread, the weight of thread, the age of the machine. In one embodiment, the operator may input the weight and type of fabric being sewn. The feed compensation algorithm may then use memory stored data to obtain feeder calibration data associated with the type and weight of fabric.
In another embodiment, examples of data as measured by the sewing machine processor, also referred to herein as machine measured data, may include; a temperature, a thread tension, the feeder mechanism torque, a needle mechanism torque; the feeder mechanism speed, a presser foot type, a presser foot pressure, a presser foot height, a time of operation of the machine, an optical measurement. In one embodiment, the processor may measure the feeder mechanism current and voltage to determine the power being drawn by the feeder mechanism during the sewing cycle. The measured power may then be used with memory stored data within the feed compensation algorithm. In another embodiment, an optical sensor may be utilized to interrogate the stitches as they are created. The processor may then use the optical data within the feed compensation algorithm.
In yet another embodiment of the present invention, examples of memory stored data may include feeder calibration data relative to; the feed dog type, presser foot type, a presser foot pressure, feeding speed, feeding direction, needle type, needle geometry, fabric type, fabric weight, thread type, thread weight, machine age, the ambient temperature, thread tension, feeder mechanism power, needle mechanism power; feeder mechanism speed, presser foot pressure, a time of operation of the machine, forward vs. reverse feed balance.
As will be appreciated by those skilled in the art, multiple data sets may be measured and stored in machine memory to fully quantify and calibrate the machine feed. The data entities above may be stored in memory as tabular data. The compensation algorithm may calculate a curve fit approximation for any of the date elements above. The curve approximation may then be used to estimate compensation values between, or as an extension of, the data points.
In alternative embodiments of the invention, any combination of the variables identified above may be considered by the software and used in the feeding error calculation. The user may input any combination of the operator input data. In one embodiment, the compensation algorithm may approximate the stiffness of the fabric when the user selects the type of fabric and fabric weight from a pull down menu. In another embodiment, the machine may dynamically measure one of the variables above during the sewing operation. For example, the temperature of the ambient air may be measured by the machine and dynamically used in the feed error correction. In another example, the thread tension may be measured by the machine and dynamically used in the feed error correction. A plurality of feeder calibration data may be used by the feed compensation algorithm to calculate the appropriate modified feeder stroke length.
As may be appreciated by those skilled in the art, other feeder mechanisms may be utilized to move the feed dog beneath the fabric. In one alternative embodiment of the invention, the feeder stroke height may be altered by the compensation algorithm based upon feeder calibration data. In another alternative embodiment of the present invention, the feeder mechanism allows the shape of the curvilinear path of the feed dog, or the feeder stroke path, to be altered by the compensation algorithm based upon feeder calibration data.
While there has been shown a preferred embodiment of the present invention, it is to be understood that certain changes may be made in the forms and arrangement of the algorithm and steps of the method for feeder movement compensation without departing from the underlying spirit and scope of the invention.
This application claims the benefit of U.S. Provisional Application Ser. No. 61/352,827, filed on Jun. 9, 2010, the entirety of which is hereby incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
3570426 | Kunes | Mar 1971 | A |
3585950 | Ito | Jun 1971 | A |
3613608 | Hinerfeld et al. | Oct 1971 | A |
3613610 | Hinerfeld et al. | Oct 1971 | A |
3693561 | Hrinko, Jr. et al. | Sep 1972 | A |
3712254 | Beamish et al. | Jan 1973 | A |
3727567 | Beazley | Apr 1973 | A |
3799087 | Beamish et al. | Mar 1974 | A |
3815531 | Wurst et al. | Jun 1974 | A |
3818849 | Maddox, Jr. | Jun 1974 | A |
3904890 | Wenrich et al. | Sep 1975 | A |
3967566 | Spiegel et al. | Jul 1976 | A |
4051794 | Herzer et al. | Oct 1977 | A |
4073247 | Cunningham et al. | Feb 1978 | A |
4092937 | Landau, Jr. et al. | Jun 1978 | A |
4100865 | Landau, Jr. et al. | Jul 1978 | A |
4104976 | Landau, Jr. et al. | Aug 1978 | A |
4108090 | Landau, Jr. et al. | Aug 1978 | A |
4116145 | Nicolay | Sep 1978 | A |
4133275 | Herzer et al. | Jan 1979 | A |
4154179 | Arnold | May 1979 | A |
4160422 | Barber et al. | Jul 1979 | A |
4181085 | Conner, Jr. | Jan 1980 | A |
4185575 | Brown et al. | Jan 1980 | A |
4195582 | Novick et al. | Apr 1980 | A |
4214540 | Cook | Jul 1980 | A |
4221176 | Besore et al. | Sep 1980 | A |
4351254 | Brown | Sep 1982 | A |
4352334 | Childs et al. | Oct 1982 | A |
4359008 | Newman | Nov 1982 | A |
4365565 | Kawai et al. | Dec 1982 | A |
4373458 | Dorosz et al. | Feb 1983 | A |
4373459 | Dunn et al. | Feb 1983 | A |
4391215 | Sansone | Jul 1983 | A |
4393343 | Angersbach et al. | Jul 1983 | A |
4412498 | Scholl | Nov 1983 | A |
4457246 | Hanyu et al. | Jul 1984 | A |
4503794 | Ishihara et al. | Mar 1985 | A |
4507596 | Angersbach et al. | Mar 1985 | A |
4509443 | Martell et al. | Apr 1985 | A |
4513676 | Martell et al. | Apr 1985 | A |
4519331 | Kosrow et al. | May 1985 | A |
4526114 | Martell et al. | Jul 1985 | A |
4526116 | Ma/ nnel | Jul 1985 | A |
4555997 | Tancs | Dec 1985 | A |
4557207 | Turner et al. | Dec 1985 | A |
4563964 | Sjodin | Jan 1986 | A |
4612867 | Rosch et al. | Sep 1986 | A |
4622907 | Kimura | Nov 1986 | A |
4648337 | Mall | Mar 1987 | A |
4682554 | Goto et al. | Jul 1987 | A |
4686917 | Braun | Aug 1987 | A |
4706584 | Senda et al. | Nov 1987 | A |
4726307 | Yamauchi | Feb 1988 | A |
4726309 | Popp | Feb 1988 | A |
4742786 | Hashimoto et al. | May 1988 | A |
4748920 | Stutznacker | Jun 1988 | A |
4757773 | Nomura et al. | Jul 1988 | A |
4777896 | Nomura | Oct 1988 | A |
4781130 | Badowski | Nov 1988 | A |
4794875 | Noguchi et al. | Jan 1989 | A |
4803937 | Hiramatsu et al. | Feb 1989 | A |
4815406 | Brown et al. | Mar 1989 | A |
4834008 | Sadeh et al. | May 1989 | A |
4841891 | Hashimoto et al. | Jun 1989 | A |
4849902 | Yokoe et al. | Jul 1989 | A |
4860678 | Skogward | Aug 1989 | A |
4867082 | Sabbioni et al. | Sep 1989 | A |
4867087 | Suzuki et al. | Sep 1989 | A |
4901660 | Takeuchi et al. | Feb 1990 | A |
4932343 | Mardix et al. | Jun 1990 | A |
4982677 | Nomura et al. | Jan 1991 | A |
4995328 | Tanaka | Feb 1991 | A |
5000105 | Tanaka | Mar 1991 | A |
5012752 | Murata et al. | May 1991 | A |
5018466 | Hasegawa | May 1991 | A |
5095835 | Jernigan et al. | Mar 1992 | A |
5138962 | Klundt | Aug 1992 | A |
5146862 | Sato et al. | Sep 1992 | A |
5156106 | Suzuki et al. | Oct 1992 | A |
5156107 | Kyuno et al. | Oct 1992 | A |
5184560 | Asano | Feb 1993 | A |
5270939 | Goldberg et al. | Dec 1993 | A |
5303665 | Hausammann | Apr 1994 | A |
5319565 | Hausammann et al. | Jun 1994 | A |
5323722 | Goto et al. | Jun 1994 | A |
5347940 | Hori et al. | Sep 1994 | A |
5389868 | Mikami et al. | Feb 1995 | A |
5410976 | Matsubara | May 1995 | A |
5474005 | Yamauchi et al. | Dec 1995 | A |
5477795 | Nakayama et al. | Dec 1995 | A |
5537939 | Horton | Jul 1996 | A |
5537946 | Sadeh et al. | Jul 1996 | A |
5562059 | Yamauchi et al. | Oct 1996 | A |
5571240 | Yamauchi et al. | Nov 1996 | A |
5588383 | Davis et al. | Dec 1996 | A |
5592891 | Muto | Jan 1997 | A |
5603272 | Takahashi et al. | Feb 1997 | A |
5653186 | Yamauchi et al. | Aug 1997 | A |
5701830 | Muto | Dec 1997 | A |
5740055 | Iwata | Apr 1998 | A |
5755240 | Schonborn | May 1998 | A |
5791270 | Mori | Aug 1998 | A |
5911182 | Uyama et al. | Jun 1999 | A |
5924372 | Okuda et al. | Jul 1999 | A |
5974997 | Amburgey | Nov 1999 | A |
6032595 | Okuyama | Mar 2000 | A |
6131526 | Iida et al. | Oct 2000 | A |
6135038 | Okamoto | Oct 2000 | A |
6189989 | Hirabayashi et al. | Feb 2001 | B1 |
6202001 | Muto | Mar 2001 | B1 |
6209468 | Marcangelo et al. | Apr 2001 | B1 |
6293210 | Freeman et al. | Sep 2001 | B1 |
6321670 | Tomita et al. | Nov 2001 | B1 |
6381818 | Freeman et al. | May 2002 | B1 |
6450110 | Bruhl et al. | Sep 2002 | B1 |
6718893 | Kong | Apr 2004 | B1 |
6718895 | Fortuna | Apr 2004 | B1 |
6729255 | Ton et al. | May 2004 | B2 |
6732668 | Zesch et al. | May 2004 | B2 |
6776112 | Bruehl et al. | Aug 2004 | B2 |
6823807 | Zesch et al. | Nov 2004 | B2 |
6871605 | Zesch et al. | Mar 2005 | B1 |
6871606 | Schweizer | Mar 2005 | B2 |
6883446 | Koerner | Apr 2005 | B2 |
6883449 | Burrell et al. | Apr 2005 | B2 |
6963790 | Mizuno et al. | Nov 2005 | B2 |
6983192 | Block et al. | Jan 2006 | B2 |
6994042 | Schweizer | Feb 2006 | B2 |
7210417 | Koerner | May 2007 | B2 |
7212880 | Mizuno et al. | May 2007 | B2 |
7240628 | Friman et al. | Jul 2007 | B2 |
7308333 | Kern et al. | Dec 2007 | B2 |
7412936 | Price et al. | Aug 2008 | B2 |
7460925 | Noguchi | Dec 2008 | B2 |
7793602 | Koemer | Sep 2010 | B2 |
7814832 | Franz | Oct 2010 | B2 |
8261679 | Ihira et al. | Sep 2012 | B2 |
8387547 | Bardh et al. | Mar 2013 | B2 |
20020020334 | Bruhl et al. | Feb 2002 | A1 |
20020043202 | Freeman et al. | Apr 2002 | A1 |
20030140829 | Zesch et al. | Jul 2003 | A1 |
20030140831 | Zesch et al. | Jul 2003 | A1 |
20030140832 | Ton et al. | Jul 2003 | A1 |
20040099191 | Bruehl et al. | May 2004 | A1 |
20040210336 | Block et al. | Oct 2004 | A1 |
20050016428 | Koerner | Jan 2005 | A1 |
20060064195 | Kern et al. | Mar 2006 | A1 |
20060213413 | Koerner | Sep 2006 | A1 |
20070204781 | Noguchi | Sep 2007 | A1 |
20070245940 | Wahlstrom | Oct 2007 | A1 |
20070256619 | Koemer | Nov 2007 | A1 |
20100224111 | Ihira et al. | Sep 2010 | A1 |
20110005441 | Roche | Jan 2011 | A1 |
20110041746 | Eklund et al. | Feb 2011 | A1 |
20110146553 | Wilhelmsson et al. | Jun 2011 | A1 |
20110168070 | Lanquist | Jul 2011 | A1 |
20120060733 | Maki et al. | Mar 2012 | A1 |
20120060734 | Yamanashi et al. | Mar 2012 | A1 |
20120234222 | Naka | Sep 2012 | A1 |
20130014682 | Brindzik | Jan 2013 | A1 |
20130042797 | Bondesson et al. | Feb 2013 | A1 |
Number | Date | Country |
---|---|---|
1081544 | Jul 1980 | CA |
2515406 | Aug 2004 | CA |
102007001073 | Aug 2007 | DE |
77788 | May 1983 | EP |
103364 | Mar 1984 | EP |
117713 | Sep 1984 | EP |
124211 | Nov 1984 | EP |
366140 | May 1990 | EP |
515131 | Nov 1992 | EP |
564771 | Oct 1993 | EP |
857228 | Aug 1998 | EP |
1184502 | Mar 2002 | EP |
1777331 | Apr 2007 | EP |
2226419 | Sep 2010 | EP |
1320764 | Jun 1973 | GB |
1349994 | Apr 1974 | GB |
1375540 | Nov 1974 | GB |
1393294 | May 1975 | GB |
1440350 | Jun 1976 | GB |
1475791 | Jun 1977 | GB |
1526209 | Sep 1978 | GB |
1547931 | Jul 1979 | GB |
1547932 | Jul 1979 | GB |
1547933 | Jul 1979 | GB |
1547934 | Jul 1979 | GB |
1568486 | May 1980 | GB |
1570241 | Jun 1980 | GB |
1570242 | Jun 1980 | GB |
1570243 | Jun 1980 | GB |
1570244 | Jun 1980 | GB |
1570245 | Jun 1980 | GB |
1571736 | Jul 1980 | GB |
2043124 | Oct 1980 | GB |
1583629 | Jan 1981 | GB |
2157723 | Oct 1985 | GB |
2168085 | Jun 1986 | GB |
2177520 | Jan 1987 | GB |
2204604 | Nov 1988 | GB |
1212591 | Aug 1989 | JP |
02055080 | Feb 1990 | JP |
6304359 | Nov 1994 | JP |
2000167277 | Jun 2000 | JP |
2000342869 | Dec 2000 | JP |
2009011594 | Jan 2009 | JP |
2009233435 | Oct 2009 | JP |
2010185151 | Aug 2010 | JP |
198800714 | Apr 1988 | KR |
8901067 | Feb 1989 | WO |
9715708 | May 1997 | WO |
0104405 | Jan 2001 | WO |
2004072349 | Aug 2004 | WO |
2006071786 | Jul 2006 | WO |
2007143062 | Dec 2007 | WO |
2010144013 | Dec 2010 | WO |
Number | Date | Country | |
---|---|---|---|
20110303138 A1 | Dec 2011 | US |
Number | Date | Country | |
---|---|---|---|
61352827 | Jun 2010 | US |