1. Statement of the Technical Field
The inventive arrangements relate to circuit boards. More particularly, the present invention relates to a method for manufacturing multi-layer circuit boards having interconnecting substrates and passive components embedded directly into the interconnecting substrates.
2. Description of the Related Art
There is a growing demand to design and manufacture smaller circuit boards having increased functionality. As such, a new circuit board technology has emerged. This circuit board technology deals with embedding passive components directly into circuit boards. This embedding is achieved by placing one or more passive components between two (2) interconnecting substrates of a circuit board. The passive components include, but are not limited to, capacitors, resistors, and inductors. It should be noted that there are many benefits to embedding passive components into a circuit board. These benefits include, but are not limited to, decreased board area requirements, decreased wiring density requirements, decreased assembly costs, and increased circuit performance due to shorter signal paths.
One conventional technique for manufacturing embedded passive components in circuit boards uses a certain type of multi-layer board. The board typically comprises a dielectric base layer, a passive material layer disposed on top of the dielectric base layer, and a conductive metal layer disposed on top of the passive material layer. Circuit traces and embedded components are formed by selectively etching the conductive metal layer and the passive material layer.
Manufacturing of circuit boards with embedded components also involves a design step for designing one or more passive components. For example, this can include selecting the dimensions and shape of each embedded passive component. This design step requires knowledge of one or more nominal published values which represent one or more electrical characteristics of the board on which the passive components are formed. The nominal published value is typically provided by a board manufacturer.
For example, one such nominal published value is sheet resistance. The sheet resistance is a measure of resistance of the passive material layer. Sheet resistance is measured in ohms/square, and is primarily used for thin layers where the thickness of the layer is negligible compared to its other dimensions. For example, a board material as provided by a manufacturer might have a published sheet resistance of five hundred (500) or one thousand (1000) ohms/sq. Other nominal published values are also used to characterize passive board materials. For example, board materials designed especially for forming embedded capacitors can include published values which define a sheet capacitance density in terms of nanofarads per centimeter squared (nF/cm2).
For purposes of designing embedded passive components, the published sheet resistance and capacitance values are useful. However, the tolerances involved in such published values substantially limit the precision of the components that can be formed. The actual values of the passive materials forming the circuit boards can and do vary significantly across the board surface compared to published values. In fact, the actual value at specific locations on the board can typically vary from the nominal published values by plus or minus ten percent (+/−10%). These broad tolerances can result in rather large variations in the value of the embedded passive components formed on the board, particularly when the material variations are combined with other manufacturing tolerance errors. For example, the design and etching process can also introduce errors.
In order to reduce such errors, a mechanical or laser trimming process is commonly used after the etching process is completed. This analysis can include the use of a multi-meter or other suitable device configured to measure resistance, capacitance, and/or inductance of each embedded device. If it is determined that the passive component does not have the desired characteristics, then an iterative mechanical or laser trimming process is performed to correct the deficiency in the passive component material. It should be noted that the mechanical or laser trimming process can only be performed when the measured resistance value, capacitance value, or inductance value is greater than a desired value. Adding passive component material to the etched board is not an option. As such, the board is discarded when the measured resistance value, capacitance value, or inductance value is less than a desired value.
Despite the advantages of the above-described manufacturing process, it suffers from certain drawbacks. For example, the manufacturing process is absent of a step for accounting for design limitations of the software used to create the boards. The manufacturing process is also absent of a step to account for measurement errors due to equipment shortcomings. This manufacturing process also results in low circuit performance and approximately a forty percent (40%) yield on circuit board fabrication. This manufacturing process does not address frequency response of variation of passive component materials across a surface of a board. In this regard, it should be noted that the mechanical or laser trimming process attempts to correct passive component material deficiencies instead of adapting to passive component material variability. Further, the mechanical or laser trimming process is labor intensive, costly, and time consuming.
In view of the forgoing, there is a need for a method of manufacturing a multi-layer circuit board having embedded passive components which is less labor intensive, costly, and time consuming as compared to conventional manufacturing processes. There is also a need for a method of manufacturing a multi-layer circuit board having embedded passive components that provides relatively high circuit performance and yield on circuit board fabrication. There is further a need for a method of manufacturing a multi-layer circuit board having embedded passive components that is configured to adapt to passive component material variability.
The invention concerns a method for manufacturing a multi-layer circuit board having embedded passive components. The method begins by selectively removing portions of at least one layer of a multi-layer circuit board to form a two dimensional array of test points. The test points are arranged to define a grid extending across a surface of the multi-layer circuit board in those areas on which a circuit is to be formed. For example, the two dimensional array of test points can be a linear two-dimensional array forming an x, y grid. However, the test points are advantageously excluded from selected areas of the multi-layer circuit board panel where an embedded passive component or circuit trace will be placed in a subsequent processing step.
The method continues by measuring at each of the test points at least one electrical parameter which is useful for defining a characteristic of the multi-layer circuit board. For example, a resistance, an impedance, or a capacitance parameter can be measured at each test point. The data from these measurements can be stored in a data file for use in a subsequent analysis step. The analysis is advantageously selected to include a neural analysis. In this regard, the neural analysis process can include determining a system identification for the multi-layer circuit board.
The method also includes selectively modifying the geometry of at least one embedded passive component to be formed on the multi-layer circuit board. The modification of the geometry is advantageously based on an analysis of a result obtained in the measuring step. At least one embedded passive component is formed on the multi-layer circuit board based on or using the geometry which has been modified.
The multi-layer circuit board can include a conductive metal layer, a dielectric layer, and a passive material layer disposed between the conductive metal layer and a dielectric layer. Each test point can be formed by removing a portion of the conductive metal layer to isolate a center contact from a remaining portion of the conductive metal layer. For example, the portion of the conductive metal layer which is removed can have an annular profile which is coaxial with the center contact.
According to one aspect of the invention, a pattern formed by the two-dimensional array of test points is modified at selected locations to align a location of at least one test point with a location of the multi-layer circuit board panel where a via will be placed. In that case, a second measuring step can be performed at each of the test points aligned with the vias to determine that at least one electrical parameter which is useful for defining the characteristic of the multi-layer circuit board. The second measuring step can be performed after at least a portion of a circuit has been formed on the multi-layer circuit board panel. If such a second measuring step is used in the process, the analysis step can be repeated using measurement data acquired in the second measuring step.
The measuring and the analyzing steps described herein can be repeated for each one of a plurality of the multi-layer circuit boards to be manufactured with a particular embedded circuit design. The neural analysis can continue to learn with each board that is measured and analyzed. This iterative process continually improves an accuracy of the analysis with each repetition of the analyzing step.
Embodiments will be described with reference to the following drawing figures, in which like numerals represent like items throughout the figures, and in which:
In order to assist the reader in understanding the inventive arrangements, a conventional process used to form embedded passive components in circuit boards will be described. This conventional process is illustrated in
In a conventional etching process used to form a passive component layer of a multi-layer circuit board, it is common to proceed in two separate steps. In the first step, the conductive metal layer 106 and the passive component material 104 are etched away to define circuit traces and other metal structures on the surface of the board. In this first step, the conductive metal layer 106 is not removed from portions of the board where the passive component 105 will be defined. The results of this first step are illustrated in
The results of the second etching step are shown in
For example, in
Due to tolerances and variations in the design, passive material layer, and the etching process, the actual values of one or more passive components 105 formed with the foregoing process are often not the precise values which were desired by a designer. In order to correct such deficiencies, the geometry of the embedded passive component can be modified in a subsequent step. This trimming process is generally necessary to achieve a sufficient level of precision with regard to the values of the embedded passive components. The trimming process can be performed with a laser. However, the laser trimming process is inefficient, time consuming, and expensive.
Referring now to
It will be appreciated by those skilled in the art that one or more embedded passive components 105 can have through vias (not shown) to connect the embedded passive component 105 to conductive metal material 110 of the multi-layer circuit board 101 and/or hidden vias to connect the passive component 105 to another layer of the multi-layer circuit board (not shown). In this regard, it should be appreciated that the circuit board 114 may include two or more embedded passive component arranged in a series of parallel configuration.
In order to overcome the limitations of the conventional processes described above, an embodiment of the present invention will now be described. The basic fabrication techniques utilized with the inventive process are similar to those described above in relation to
Referring now to
After a multi-layer circuit board panel has been selected in step 203, the process continues on to step 204. In step 204, a layout is defined for a plurality of test points to be disposed in a pattern across a surface of the multi-layer circuit board. The test points are described in more detail below. The term layout is generally used to refer to an arrangement or placement of the test points. The layout is conventionally created as a computer file or computer generated mask work using a computer aided design tool. The layout is conventionally used in a subsequent processing step to define which portions of a circuit board will be etched. The terms layout and mask are well known to those familiar with the process of designing and etching circuit boards.
Referring now to
Referring to
According to a preferred embodiment, the grid pattern described above can include test points locations generally aligned along a plurality of transversely oriented grid lines. For example the transversely oriented grid lines can advantageously be oriented so that they are orthogonal to each other as shown. However, the invention is not limited to a particular grid pattern. Instead, any other arrangement of test points at known locations on the board can be used. The exact number or pattern selected for the test points 304 is not critical. However, a larger number of test points is helpful to more completely identify the electrical characteristics of the multi-layer circuit board 300 as described below.
As shown in
Referring now to
The measured values obtained at each test point 304 can be used to calculate a sheet resistance for that local area of the multi-layer circuit board 300 where the test point 304 is located. However, in addition to merely providing information regarding the board material, it is important to recognize that the test point measurement results will be affected by tolerance errors associated with the layout, masking, and etching process for the circuit board. As shall be explained below in further detail, the combination of such board variations and processing tolerance errors can be statistically analyzed using conventional techniques. Information gained from such statistical analysis can thereafter be used to modify the geometry of passive embedded components formed on the board so as to compensate for such board variations and processing errors. The information can be used in the subsequent etching steps on the same board and in the fabrication of subsequent boards.
It should be understood that various measurements can be performed at each test point 304. For example, in addition to resistance measurements, a measurement at each test point can include a capacitance measurement. The capacitance can be measured between the center contact 404 and a conductive metal ground plane (not shown) which is disposed below dielectric layer 500 in
Referring now to
According to an embodiment of the invention, a location of each test point 304 can be defined by means of an (x, y) coordinate. For example, the first three test points 304 in the first row on multi-layer circuit board panel 300 can be respectively identified by (x, y) coordinates (1, 1), (2, 1) and (3, 1). In this way, data acquired at each test point can be identified with reference to the x, y coordinates of the particular test point where the data was measured.
Referring once again to
In those instances where impedance is measured, the impedance value will be a complex value having a resistive component and a reactive component. As will be appreciated by those skilled in the art, the impedance measured at each test point 304 will vary as a function of frequency. Accordingly, it is preferred that the impedance measurement be performed at each test point 304 at least at an intended operating frequency of the completed multi-layer circuit board panel 300. Alternatively, the impedance measurements can be performed over a range of frequencies. The range of frequencies can be selected to include frequencies at which a circuit to be formed on multi-layer circuit board panel 300 will be operated. For example, if it is known that a circuit to be formed on multi-layer circuit board panel 300 will be operated at five hundred (500) MHz, then the range of test frequencies should include five hundred (500) MHz.
The measurements at each test point 304 can be performed using a manually operated measuring device or an automated measuring system. Such automated electronic devices include, but are not limited to, a probe type test system and a “bed-of-nails” type test system. Each of these types of test systems is well known to persons skilled in the art, and therefore will not be described in great detail herein. According to an embodiment of the invention, the probe type test system is a robotically controlled test probe that is calibrated to provide resistance measurement with a precision which is equal to or better than one one-thousandths of an ohm (0.001Ω). Still, the invention is not limited in this regard.
For each test point 304 having a given geometry and formed on a particular type of board material, there will be an expected measurement result. This expected measurement result can easily be calculated based on the published electrical characteristics of the board and the geometry which has been selected for the test point. However, there are several factors which will cause the actual measurements performed at the test point 304 to deviate from the expected measurement result. These factors include without limitation (1) variations in the electrical characteristics which occur across the surface of the board, (2) tolerance errors in the layout process, (3) tolerance errors in the masking process, (4) tolerance errors in the etching process, and (5) tolerance errors in the measurement equipment. As used herein, the term tolerance errors should be understood as referring to minor dimensional variations in the geometry of the passive component that are beyond the ability of a designer to control. Although such errors cannot be controlled, they can be modeled using known techniques for statistical analysis. The process of modeling such errors begins with the acquisition of measurement data at each test point 304 and comparing it to the expected measurement value.
Referring now to step 208, the process can include using the data from step 206 to identify variations in expected measurement values relative to the actual measurement values obtained at locations of different test points 304. A determination of such expected measurement values can be made based on the geometry of the test points 304 and a nominal published value for the board electrical characteristics provided by a manufacturer. For example, at DC, this determination can involve determining a difference between a measured value and an expected value that is based on published manufacturer data for a particular multi-layer circuit board panel 300. The determination in step 208 can be made with regard to variations in sheet resistance of resistivity, capacitance, inductance or any other value.
At higher frequencies, this determination of variations in expected measurement values relative to actual measurement values can include a comparison of the measured complex impedance value Z at a test point to a pure resistance value expected at such test point based on a published sheet resistance specification for a particular type board material. In this regard, it will be understood that the complex impedance value Z=R+jX can include a real component (R or resistance) and a reactive component X, which can be positive or negative depending on whether the reactance is capacitive or inductive. As will be appreciated by those skilled in the art, the reactive value X can be determined by subtracting from the measured complex impedance value the actual resistance value R for a particular test point as measured at DC. The result will be the reactive component of the impedance X at a particular frequency.
Referring again to
As used herein, the term linear regression analysis generally refers to any one of a variety of well known statistical methods which are useful for examining the relation of a dependent variable (e.g. a resistivity value, capacitance value or inductance value) to specified independent variables (such as a location on a board surface). The mathematical model which defines the relation between the dependent variable and the independent variable is referred to as a regression equation. A least mean squares analysis is one such well known method for linear regression that can be used for this purpose.
The system identification can be a transfer function, equation or a matrix that provides a mathematical model representing a particular electrical characteristic of the circuit board 300. For example, the system identification can be a model of the resistively values (or variations in such values) occurring over the surface of the multi-layer circuit board 300. According to one embodiment of the invention, the system identification can model resistivity, capacitance, inductance or impedance. Still, the invention is not limited in this regard and any other electrical characteristic of the multi-layer circuit board can also be modeled. The system identification can be used to determine error terms associated with an x, y coordinate location of each test point 304. The error term for each test point 304 can represent a variation in the measured electrical characteristic at such test points relative to a nominal published value for such electrical characteristic. In this regard, the neural network processing can help to eliminate measurement errors associated with step 206 and can provide a more complete and accurate model for the entire multi-layer circuit board 300, and the processes used to fabricate such board.
The process continues in step 212. In this step, at least one dimension of at least one passive network component to be formed on the multi-layer circuit board panel 300 is modified based on the board variations and tolerance errors which are statistically identified in steps 206, 208 and 210. For example, referring to
In step 214, a circuit can be etched or otherwise formed on the multi-layer circuit board panel 300. Referring to
The circuit forming process in step 214 can proceed in accordance with a conventional process suitable for the particular type of multi-layer circuit board panel 300. For example, a first step in a conventional etching process can be used to form the circuit on the board. As part of this etching process, most of the test points 304 can also be removed or etched away. However, those test points 304 which are aligned with vias can be retained on the surface of the board.
In
In step 216, the second step in a conventional etching process can include using the modified layout defined in step 212 to finally expose the resistive/capacitive material (passive material layer 502) as necessary to precisely form the embedded passive components in accordance with the modified dimensions. A conventional etching process can be used for exposing the passive material layer 502.
Referring again to
In step 218, the processing associated with steps 203-216 can be repeated for each additional circuit board to be fabricated. Each time these steps are repeated, the neural network will continue to learn based on the measured data so as to improve the next processing run. In step 220, the process can end.
Those skilled in the art will appreciated that the embedded passive component design for multi-layer circuit board panel 300 can be created using a computer aided design (CAD) tool. Computer aided design (CAD) tools are well known to persons skilled in the art, and therefore will not be described in great detail herein. However, it should be appreciated that any such computer aided design (CAD) tool can be used without limitation. The design process can involve storing information defining the passive component design in a data file.
A computer aided design tool can also be configured to read the stored data defining the passive component design. The tool can be configured to add the embedded passive component to a component library so that the passive component can be added to a multi-layer circuit board layout. As used herein, the term layout refers to any representation that is useful for defining an arrangement or placement of components 702 and traces 706 which will be formed on the multi-layer circuit board panel 300. The term layout is also used to refer to an arrangement or placement of the test points 304 as described above. As should be understood, defining a shape of a multi-layer circuit board and creating a component layout for a multi-layer circuit board panel 300 is well known in the art. The design process can further include defining buried and through via locations on the multi-layer circuit board. Buried and through vias are well known to persons skilled in the art, and therefore will not be described in great detail herein.
According to a preferred embodiment, the multi-layer circuit board layout should be arranged to allow for a change in a geometry of the embedded passive component due to a neural analysis. This geometry change can include modifying a width and/or a length of the embedded passive component. Thus, sufficient area is preferably provided surrounding the location of each passive component so that such geometry changes do not cause the need for other layout changes. In this regard, a suitable buffer zone can be defined around each passive component included in the layout so as to accommodate such geometry changes.
As noted above, a neural analysis as described herein is an adaptive, linear/non-linear statistical data modeling process. The neural analysis is used herein to model complex relationships between measured resistance or capacitance values and outputs of the neural analysis which are used to adjust embedded passive component dimensions. The neural analysis is also used to identify patterns in measured resistance or capacitance values and outputs of the neural analysis. As will be appreciated by those skilled in the art, a variety of different techniques and methods can be used for implementing such a neural analysis as described herein without limitation. Any suitable neural network analysis can be used without limitation provided that it makes use of the measured data described herein to more precisely characterize or model the electrical characteristics of the multi-layer circuit board panel 300.
Likewise, it should be understood that the invention described herein can be implemented by alternative means other than a neural network. Although less desirable, more conventional computer processing techniques can be used to characterize the electrical characteristics of a multi-layer circuit board panel 300 based on measured data. In this regard, any suitable algorithm can be used to the extent that it uses the measured data regarding the board electrical characteristics to create a system identification for such board.
All of the apparatus, methods and algorithms disclosed and claimed herein can be made and executed without undue experimentation in light of the present disclosure. While the invention has been described in terms of preferred embodiments, it will be apparent to those of skill in the art that variations may be applied to the apparatus, methods and sequence of steps of the method without departing from the concept, spirit and scope of the invention. More specifically, it will be apparent that certain components may be added to, combined with, or substituted for the components described herein while the same or similar results would be achieved. All such similar substitutes and modifications apparent to those skilled in the art are deemed to be within the spirit, scope and concept of the invention as defined.
This invention was made with government support under FA8650-06-C-5505 awarded by United States Air Force. The government has certain rights in the invention.