Patent Application
20090109792
1. Field of the Invention
The invention relates to a method for identifying the foodstuff being mixed in a mixing system. The invention further relates to a method of operation the mixing system based on the foodstuff identified.
2. Description of the Related Art
Mixing systems are ubiquitous. Though there are a wide variety of such mixers in the market they can be generally classified into two broad categories. The first category includes a lightweight portable variety of mixer often used for small amounts of material, and which are often referred to as hand-held mixers. The second type is a stand mixer, which compared to the hand mixer typically has a larger motor and a fixed mixing bowl and is used for mixing larger quantities and also may be used for kneading bread dough and mixing other heavy foodstuffs efficiently. The stand mixers typically have a mixing device, such as a dough hook to knead the dough, which extends into the bowl and is driven by the motor, which can typically be operated at multiple speeds.
There are many different types of bread dough, each of which has a different recipe. The recipes are formed of multiple steps with each step comprising the addition of one or more ingredients that are then mixed for a predetermined time at a predetermined speed. The user can sometimes get distracted during the mixing of the dough and forget where they are in the recipe. Therefore, it would be beneficial to be able to track the mixing process for the user.
The kneading of dough is one of the most difficult tasks that a mixing system performs because of the high forces required to knead the dough. The high forces create high instantaneous loads on the motor, which can result in audible mechanical and motor noises, vibrations, variable motor speeds, and use of greater amounts of current to knead the dough. All of these effects are undesirable for the consumer. The motor must also be sized to accommodate the instantaneous loads, which requires a larger motor than is otherwise necessary, which increases the cost to the consumer.
The invention relates to a method for smoothing the motor speed during mixing based on a prediction of the increased loading on the motor.
In the drawings:
Referring also to
One or more well-known sensors 36 for monitoring operating characteristics of the motor, such as angular velocity (speed), current, voltage, torque, power and the like, may be operably coupled with the motor 26 and the controller 32. For purposes of the invention, the sensor 36 can form part of the controller 32 or can be separate from the controller 32. The controller 32 may be adapted to send and receive signals for controlling the operation of the mixer motor 26, receiving data from the sensors 36, processing the data, displaying information of interest to a user, and the like.
The use of the planetary gear system to drive a mixing element, such as the dough hook, creates a complex rotational motion for the dough hook 28 because while the dough rotates along with the axis of rotation of the planetary gear 54 to which it is coupled and orbits about the axis of rotation of the sun gear 52.
As is easily seen in
During all phases of the rotation of the dough hook, there is an intermittent grabbing and slipping of the dough with respect to the dough hook 28 and bowl 22 that results in an intermittent application of the weight of the foodstuff to the mixer motor 26, which amounts to a loading and unloading of the mixer motor 26. However, the pinch points are areas of highest loading for the motor. As the outermost point of the dough hook nears the pinch point, the foodstuff is compressed between the dough hook and the bowl, which requires more power from the motor to push through the dough. The controller will increase the current to the motor to temporarily increase the power to overcome the pinch point.
The timing, magnitude and frequency of the instantaneous loading may be impacted by several factors other than the pinch points. For example, the type and foodstuff being mixed impact the instantaneous loading. The amount of dough being mixed typically falls into any one of three standard sizes of a bread dough recipe. Each recipe will form a dough ball and the larger the dough ball formed the more inhibited the movement of the dough hook 28 within the bowl 22 and the greater the magnitude of the load being placed on the mixer motor 26. The gluten amount also varies in each different dough recipe; this is important as it relates to the elasticity of the dough and the resistance it provides. The more gluten in the dough the more elastic the dough becomes and the less resistance it offers.
Such instantaneous loading may have several different disadvantageous effects in the mixing system as the loading and unloading present themselves as a change in speed of the motor, audible noise and vibration. For example, the increased stress on the elements of the mixing system causes mechanical noise and vibration of the mixing system. The instantaneous loading may also slow the motor 26 and in turn the speed of the mixing element. In response to the slowing motor speed, the controller 32, which typically tries to move the motor 26 at a predetermined set speed for the given speed setting, will increase the current to the motor 26 to attempt to increase the torque and maintain the set speed. The additional motor current results in increased costs to the consumer and may also cause an audible noise to be emitted from the motor 26 as increased power is applied. If the loading is at its largest, typically at a pinch point, the noise can be disturbingly loud to the user and can substantially slow down the motor as the controller attempts to keep up with the intermittent loading.
The controller 32 can be configured to identify the pinch points and increase the current to compensate for the speed loss associated with the pinch points. The controller can identify the pinch point from the motor characteristic data supplied by the sensor 36. For example, the maximum motor current identifies the pinch point. Only one pinch point need be identified as the physical locations of the pinch points are predictable because they physically repeat as previously described.
The amount of the correction can be accomplished in different manners. For example, the controller and its operation can be selected and configured along with any necessary sensors to “zero” out the speed variation. However, zeroing out the speed variation is not necessary to eliminate the deleterious effects of the speed variation for the pinch points. Thus, the extra cost of such a controller and sensors is not warranted. Noting that some speed variation is acceptable, it is only necessary to apply enough correction to keep the variation within an acceptable range that does not lead to the deleterious effects previously described. The controller can do this by monitoring the current as the mixer passes through the pinch point and increasing the current as necessary to the motor to keep the actual motor speed within an acceptable variation range. The controller could also increase the current a fixed amount in anticipation of the pinch points and in an amount great enough to ensure that the speed variation stays within the acceptable range. Other methods are also possible.
Regardless of the control method, the accuracy of the speed smoothing can be improved if the magnitude loading of the mixer is known or can be approximated in addition to knowing the timing of the anticipated loading, which can be determined from the location of the pinch points. Knowing or approximating the magnitude of the loading, especially the maximum loading, is difficult in the mixing environment because the loading is a function of the materials, as illustrated herein as the type of dough, being mixed. In the case of bread dough, the magnitude of the loading is a function of the type of dough and the amount of dough.
The invention provides a method for identifying the type of material being mixed. While described herein in terms of types of bread dough (White bread dough, French bread dough, Sweet bread dough, Wheat bread dough, Honey Oatmeal bread dough, Pizza dough, and Banana Nut bread dough), the identification of the material being mixed is not so limited.
An explanation of how a bread is made and the corresponding dough ball is formed will be helpful to understanding how the magnitude of the load can be known or predicted. Typically when making dough, multiple dough ingredients, which include all of the ingredients kneaded to collectively form the dough, are placed in the bowl 22 of the mixing system. In some recipes, additional flour may be added later on in the mixing process. For example, the following table lists the ingredients for making a medium sized batch of white bread dough.
The recipes for medium batches of the other dough types described herein may be found in
In a basic white bread dough recipe the recipe directs the user to place the milk, sugar, salt and butter in a small sauce pan and to heat over low heat until the butter melts and the sugar dissolves and then to let the mixture cool to lukewarm. The recipe then directs the user to dissolve the yeast in warm water in the mixing bowl 22. The lukewarm milk mixture is then added to the bowl 22 along with four and a half cups of flour. The user then turns the mixing system on by selecting Speed 2 on the speed control knob and the ingredients are mixed for one minute. As the dough hook 28 moves, the individual ingredients are first loosely incorporated and then mix to form a ball of dough on the dough hook in the interior of the bowl 22. While the mixing system is still set on Speed 2 the remaining flour is added a half of a cup at a time. At this point the additional ingredients are mixed into the dough ball. This occurs after the ingredients are mixed for another minute and a half or until the dough starts to clean the sides of the bowl. At this point the dough ball is formed and is then kneaded at Speed 2 for another two minutes. The dough ball is then taken out of the mixing system for further preparation before baking.
Each dough making process has several main steps. The first step is where the ingredients are initially mixed. The second stage where the mixed ingredients start to form a dough ball. At this initial dough ball formation the load on the motor increases because of the dough ball being compressed as it moves through the pinch points and the increased frictional resistance between the dough ball, which is tacky, and the bowl. The maximum instantaneous loading tends to be located at the pinch points. The magnitude of the maximum instantaneous loading tends to increase until reaching a final kneading step that is common in all recipes. At the final kneading step, the dough ball is completely formed and is as tacky as it will become. It should be noted that some recipes like the basic white bread dough recipe have an additional step that occurs after the dough ball has formed initially and before the kneading process, this is the step where more flour is added.
Applicants have determined that motor current data may be used to identify the foodstuff being mixed in real-time. In this sense, the use of the data amounts to a real-time sensor placed in the mixing system for identifying what foodstuff is being mixed. Such sensors have never before been available. As motor speed tends to lag the motor current in a predictable manner, motor speed may also be used to identify the foodstuff being mixed. Therefore, while this explanation is in terms of the motor current, it should be understood that it applies to using motor speed data as well.
It has been found that each type of dough has its own distinct pattern of peak currents as does each dough size.
As way of a general description, the waveform begins with a large swing in the peak value which is attributable to the start-up of the motor and brings the motor up to the set speed while beginning to mix the recipe ingredients. These peaks are transient and lead into a more steady state operation. The next ripples in the waveform occur as the ingredients are initially mixed but are not incorporated into a dough ball. The ripples occur because ingredients are squeezed between some pinch points in the bowl and not others. The ripples then settle out as the dough ball initially forms and clings to the dough hook and a constant loading occurs during each pinch point. The peaks have greater magnitude when there is greater force being applied to the motor 26 which is associated with the mixing of the dough ingredients. The filtered peak current data may be stored by the mixer controller and may be used to calculate a frequency for the waveform.
The filtered peak motor current data provides an accurate identification of the dough ingredients being mixed. More specifically, the foodstuff can be identified by comparing the collected filtered peak data to predetermined recipe peak data profiles for each recipe type and recipe size. For example, the controller would essentially look for a match between the collected filtered peak current data and the predetermined recipe peak data profiles.
A cursory review of the filtered current data for White bread dough of medium, small and large size shown in
However, applicants have discerned that viewing motor current data in the frequency domain provides much better resolution appropriate to identifying the type and size of the dough.
As illustrated by
As can be easily seen the frequency profile has greater resolution relevant to determining the type and size of foodstuff being mixed, making the identification easier not just to the human eye, but also to a computer. The frequency domain data, such as prominent frequencies and their magnitude, can be tabulated and used as a reference. The tabulated data is also suitable for loading into the memory of a processor to be used as a reference value for real time comparisons. In this manner the collected frequency amplitude data may be compared to a predetermined reference profile.
That the frequency data is suitable for determining size is illustrated by looking at
The difference between the dough types and sizes is most dramatically illustrated when the prominent frequencies are tabulated as seen in Tables 2 and 3 below.
A cursory review of the tabulated profile data for White bread dough of medium, small and large sizes shown in Table 2, illustrates that each size of the same dough has a different profile. As such the controller may determine the dough size being mixed based on the data collected. Notably, the 3 Hz amplitude is determined after 120 seconds.
The foodstuff being mixed usually may be identified within the first sixty (60) second of the dough ingredients being mixed. Those that cannot be identified in the first sixty (60) seconds may be identified within the first one hundred twenty (120) seconds of the dough ingredients being mixed. The recipes that are identified within the first one hundred twenty (120) seconds are small white, small wheat, medium wheat, small honey oatmeal, medium honey oatmeal, and large honey oatmeal. All other recipes may be identified after only sixty (60) seconds. It has been contemplated that other time lengths could be used but in this instance the predetermined profiles only use these times. Therefore, most of the recipes can be detected before the dough ball forms and the instantaneous loading begins. This is advantageous because corrective measures may be taken before the instantaneous loading affects the performance of the mixer 10.
Similarly, a cursory review of the tabulated profile data for White bread, French bread, and Sweet bread dough of a medium size, shown in Table 3, illustrates that each type of dough has a different profile. As such the controller may determine the dough type being mixed based on the data collected. Thus the filtered peak current differences and frequency analysis differences have allowed applicants to develop profile characteristics to identify the foodstuff being mixed. The profiles will typically be empirically determined for different mixers, and established based upon factors such as recipe type and recipe size.
While the predetermined peak current waveforms and frequency analysis waveforms could be stored in the controller as recipe profiles and the foodstuff could be identified in that manner, storing tables of profile criteria is easier from a processing resource perspective than working with the waveforms. That is, the tabulated profiles could be sequentially compared to the real time peak current and frequency domain data to determine the type and size of dough being mixed. Even more resource efficiency can be gained by converting the tabulated filtered peak current profiles and frequency profiles into a logic tree structure, which can be implemented as a software application than runs on the processor of the mixer. The real time filtered peak current data and frequency domain data can be used as inputs to the software application to determine the type and size of bread dough.
Using the logic tree structure, while the ingredients are being mixed the machine controller 32 keeps track of the peak motor current data and determines the frequency domain data by using a Fast Fourier Transform. This may be accomplished by the machine controller 32 receiving data samples of the motor current from the sensor 36, storing the values of the peak current, determining the frequency of the current through a Fast Fourier Transform for specific signals and maintaining both the peak current data and the frequency data for a specific frequency signal. The controller takes the filtered peak current data and the frequency data and essentially forms a frequency profile for the dough being mixed. This frequency data is used as inputs to the logic tree.
The ability to identify the foodstuff being mixed benefits the improvement of the mixer performance as the operation of the mixing system may be controlled based on the foodstuff identified and actions may be taken to reduce the instantaneous loading. Once one has the ability to identify the recipe size and type, one may then manipulate the mixer operation accordingly to control the instantaneous loading. More specifically, the controller may anticipate the loading which will occur and increase the power to the motor 26 in advance of the instantaneous pinch point loading in order to smooth out the speed variations and demands placed on the motor 26 during the instantaneous loading. The instantaneous loading prediction would also allow a smaller motor 26 to be used in the mixer as the instantaneous demands on it would be lessened. Other advantages would include less audible noise when instantaneous loading is put on the motor 26 and less vibration.
Another way the recipe identification can be utilized is to have the mixer guide the user to operate the mixing system based on the identified foodstuff. For example the mixer could prompt the user either for additional ingredients or prompt the user to turn off the mixing system when the mixing is complete.
Furthermore, it has been contemplated that even without identifying the foodstuff being mixed that the mixer may be able to reduce the variations in speed and reduce the demands on the motor 26 by predicting when instantaneous loading will occur. The controller may predict when instantaneous loading will occur because the instantaneous loading is repetitive and occurs each time the mixing element comes into close proximity with a wall of the bowl 22 to form a pinch point. The controller needs only to identify the cyclical pattern of the movement of the mixing element in order to identify the pinch points that will occur. The controller may then increase the current supplied to the motor 26 in advance of those future pinch points to reduce the instantaneous loading that will occur at future pinch points and to reduce the variations in speed and demands placed on the motor 26.
The invention described herein provides an optimized mixing operation by increasing the power supplied to the motor 26 in sufficient amounts and in advance of instantaneous demands made upon the same, thereby reducing the speed variations, audible noise and vibration of the mixer. Thus, the foodstuff being mixed is mixed more efficiently and better thereby saving the consumer costs related to mixing. Finally, the utilization of motor current in identifying a foodstuff recipe requires no additional instrumentation, thereby minimizing additional cost, and could also allow user interaction with the mixer. The invention simply utilizes readily available information in a new manner to control an operation in order to optimize the mixers performance.
While the invention has been specifically described in connection with certain specific embodiments thereof, understand that this constitutes an illustration and not a limitation. Reasonable variation and modification are possible within the scope of the forgoing disclosure and drawings without departing from the spirit of the invention defined in the appended claims.
