@inproceedings{littau_developments_2011,

title = {Developments in MEMS scale printable alkaline and Li-ion technology},

author = {Karl A Littau and Corie L Cobb and Nils Spengler and Scott Solberg and Michael Weisberg and Norinne Chang and Alexandra Rodkin},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8031/80311L/Developments-in-MEMS-scale-printable-alkaline-and-Li-ion-technology/10.1117/12.883311.short},

doi = {10.1117/12.883311},

year  = {2011},

date = {2011-05-01},

urldate = {2018-03-05},

booktitle = {Micro- and Nanotechnology Sensors, Systems, and Applications III},

volume = {8031},

pages = {80311L},

publisher = {International Society for Optics and Photonics},

abstract = {Two technologies for MEMS (Microelectromechanical Systems) scale cell formation are discussed. First, the fabrication of planar alkaline cell batteries compatible with MEMS scale power storage applications is shown. Both mm scale and sub-mm scale individual cells and batteries have been constructed. The chosen coplanar electrode geometry allows for easy fabrication of series connected cells enabling higher voltage while simplifying the cell sealing and electrode formation. The Zn/Ag alkaline system is used due to the large operating voltage, inherent charge capacity, long shelf life, and ease of fabrication. Several cells have been constructed using both plated and spun-on silver. The plated cells are shown to be limited in performance due to inadequate surface area and porosity; however, the cells made from spun-on colloidal silver show reasonable charge capacity and power performance with current densities of up to 200 uA/mm$^textrm2$ and charge capacities of up to 18 mA-s/mm$^textrm2$. Second, a new printing method for interdigitated 3-D cells is introduced. A microfluidic printhead capable of dispensing multiple materials at high resolution and aspect ratio is described and used to form fine interdigitated cell features which show >10 times improvement in energy density. Representative structures enabled by this method are modeled, and the energy and power density improvements are reported.},

keywords = {additive manufacturing, Co-extrusion, MEMS, printed batteries},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cobb_case-based_2007,

title = {Case-based reasoning and object-oriented data structures exploit biological analogs to generate virtual evolutionary linkages},

author = {Corie L Cobb and Ying Zhang and Alice M Agogino and Jennifer Mangold},

doi = {10.1109/CEC.2007.4424490},

year  = {2007},

date = {2007-09-01},

booktitle = {2007 IEEE Congress on Evolutionary Computation},

pages = {334--341},

publisher = {IEEE},

abstract = {Multiobjective genetic algorithms (MOGA) and case-based reasoning (CBR) have proven successful in the design of MEMS (microelectromechanical systems) suspension systems. Object-oriented data structures of primitive and complex genetic algorithm (GA) elements have been developed to restrict genetic operations to produce feasible design combinations as required by physical limitations or practical constraints. Thus, virtual linkage between genes and chromosomes are coded into the properties of pre-defined GA objects. A new design problem requires selecting the right primitive elements, associated data structures, and linkages that promise to produce the best gene pool for new functional requirements. In this paper, biomimetics is proposed as a means to examine and classify functional requirements so that case-based reasoning algorithms can be used to map design requirements to promising initial conceptual designs and appropriate GA primitives. The concept is demonstrated using micro-mechanical resonators.},

keywords = {case-based reasoning, design synthesis, evolutionary algorithms, MEMS, optimization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cobb_mems_2007,

title = {MEMS design synthesis: integrating case-based reasoning and multi-objective genetic algorithms},

author = {Corie L Cobb and Ying Zhang and Alice M Agogino},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6414/641419/MEMS-design-synthesis--integrating-case-based-reasoning-and-multi/10.1117/12.695609.short},

doi = {10.1117/12.695609},

year  = {2007},

date = {2007-01-01},

urldate = {2018-03-05},

booktitle = {Smart Structures, Devices, and Systems III},

volume = {6414},

pages = {641419},

publisher = {International Society for Optics and Photonics},

address = {Adelaide, Australia},

abstract = {A case-based reasoning (CBR) knowledge base has been incorporated into a Micro-Electro-Mechanical Systems (MEMS) design tool that uses a multi-objective genetic algorithm (MOGA) to synthesize and optimize conceptual designs. CBR utilizes previously successful MEMS designs and sub-assemblies as building blocks stored in an indexed case library, which serves as the knowledge base for the synthesis process. Designs in the case library are represented in a parameterized object-oriented format, incorporating MEMS domain knowledge into the design synthesis loop as well as restrictions for the genetic operations of mutation and crossover for MOGA optimization. Reasoning tools locate cases in the design library with solved problems similar to the current design problem and suggest promising conceptual designs which have the potential to be starting design populations for a MOGA evolutionary optimization process, to further generate more MEMS designs concepts. Surface micro-machined resonators are used as an example to introduce this integrated MEMS design synthesis process. The results of testing on resonator case studies demonstrate how the combination of CBR and MOGA synthesis tools can help increase the number of optimal design concepts presented to MEMS designers.},

keywords = {case-based reasoning, design synthesis, evolutionary algorithms, MEMS, optimization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cobb_longitudinal_2007,

title = {Longitudinal Study of Learning Outcomes in a New Product Development Class},

author = {Corie L Cobb and Alice M Agogino and Sara L Beckman},

url = {http://dx.doi.org/10.1115/DETC2007-34456},

doi = {10.1115/DETC2007-34456},

isbn = {0-7918-4805-1},

year  = {2007},

date = {2007-01-01},

urldate = {2018-03-05},

booktitle = {ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications and the 19th Reliability, Stress Analysis, and Failure Prevention Conference},

volume = {4},

pages = {643--651},

publisher = {ASME},

address = {Las Vegas, Nevada},

abstract = {This paper reports on a longitudinal study of lessons learned from a graduate-level New Product Development course taught at the University of California at Berkeley, comparing lessons learned by students during the course with alumni perceptions one to ten years after graduation. Previous research on student learning outcomes in New Product Development (NPD) found that on the last day of class students identify working in multifunctional teams and understanding user needs as their most important lessons learned. This study raises the question of whether or not students maintain the same emphasis on learning outcomes once they have moved on to careers in industry. To answer this question, we conducted 21 in-depth interviews with alumni who took the course between 1995–2005 and are now working in industry. A qualitative and quantitative analysis of the alumni interviews reveals that former students still highly value what they learned about team work and understanding user needs, but see more value in tools for concept generation, prototyping, and testing after gaining work experience. The results reaffirm the value of engaging students in multidisciplinary design projects as a vehicle for developing the professional skills needed in today’s competitive new product development environment.},

keywords = {engineering education, new product development},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cobb_case-based_2006,

title = {Case-Based Reasoning for the Design of Micro-Electro-Mechanical Systems},

author = {Corie L Cobb and Alice M Agogino},

url = {http://dx.doi.org/10.1115/DETC2006-99120},

doi = {10.1115/DETC2006-99120},

isbn = {0-7918-4257-8},

year  = {2006},

date = {2006-01-01},

urldate = {2018-03-05},

booktitle = {26th Computers and Information in Engineering Conference},

volume = {3},

pages = {109--118},

publisher = {ASME},

address = {Philadelphia, Pennsylvania},

abstract = {Although Micro-Electro-Mechanical Systems (MEMS) are forming the basis for a rapidly growing industry and fields of research, many MEMS designers still rely on back-of-the-envelope calculations due to a lack of efficient computer-aided design (CAD) tools that can assist with the initial stages of design exploration. This paper introduces case-based reasoning (CBR) techniques to the design of MEMS, as part of a larger MEMS synthesis framework currently under development at UC Berkeley. Having the ability to draw upon past design knowledge is advantageous to the MEMS designer, allowing reuse and modification of previous successful designs to help deal with the complexities of a new design problem. CBR utilizes past successful MEMS designs and sub-assemblies as building blocks stored in an indexed library. Reasoning tools find cases in the library with solved problems similar to the current design problem in order to propose promising conceptual designs. This paper discusses case representation and case library design as well as the results of case retrieval studies, focusing on MEMS resonant structures. The paper recommends strategies for integrating the MEMS case library with evolutionary computation when parameter optimization over the retrieved conceptual designs is not sufficient or there are gaps of knowledge in the case library.},

keywords = {case-based reasoning, design synthesis, MEMS, optimization},

pubstate = {published},

tppubtype = {inproceedings}

}