The Skimming Of A Business Plan - 728 Words

The Skimming Three The Skimming Three The Skimming Three The Skimming Three simply requires flipping through the pages of the plan and looking at a few sections. These three of the Top Ten Fatal Flaws also land plans in the â€Å"reject† pile. 5. Poorly Written Plan 5. Poorly Written Plan This ranks up there with sloppy. When you submit a plan, it does not need to be textbook perfect English. Investors understand that business plans are not written by English professors. The sort of misspellings that should be caught in a spell check are unforgivable. It shows a tremendous lack of effort if a business plan isn’t even spell checked. Is the plan clearly written? When an investor reads a plan, is it clear enough to make sense quickly? Investors don’t want to de-code a business plan. They just want to read it. Poor grammar, poor word choice, wrong words, and too many proofreading errors make a business plan too much of a chore to get through. It gets the plan tossed into the â€Å"reject† pile quickly. 6. Too Much Detail 6. Too Much Detail This is a common sin of technology, medical and some product start-ups. If you have too much technical information or too much supporting material in the body of your plan, it bogs down the reader. Talk about what the Technology DOES for the user first, before going into details. Then go deeper into the technology or product only enough to let someone know what you’re doing, what problem you’re solving, and that your people can deliver. LeaveShow MoreRelatedCoca Cola Comprehensive Marketing Plan1134 Words   |  5 PagesRunning head: COCA-COLA COMPREHENSIVE MARKETING PLAN 1 COCA-COLA COMPREHENSIVE MARKETING PLAN 5 Coca-Cola Comprehensive Marketing Plan Hieu Le Columbia Southern University Coca-Cola Comprehensive Marketing Plan Product pricing is the primary justification for value from a customer?s perspective (Perreault, Cannon McCarthy, 2015). 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Use of Emotional Intelligence to Communicate Effectively...

Communication is vital to many everyday activities, such as conversing with a loved one, discussing a situation with a co-worker, or giving a speech. Speakers do not always communicate as successfully as they believe they do, in fact, speakers have been found to systematically overestimate their communication effectiveness. Most of the time the senders and receivers communicate successfully, but there are times when the lines of communication breakdown. In a work environment the lines of communication must remain intact because if there are any misunderstandings these misunderstandings could result in a life or death situation. Using your emotional intelligence when communicating with co-workers will help break down the barriers in the†¦show more content†¦Your awareness of what you are feeling you can help you control your emotions. â€Å"Just because you have emotions does not mean you have to act upon them† (Hybels Weaver, 2007, p.159). 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Shape Memory Alloys for Smart Materials- MyAssignmenthelp.com

Question: Discuss about theShape Memory Alloysfor Smart Materials. Answer: Definition of Smart Materials (shape memory alloys) Shape memory alloys (SMAs) are types of smart materials. By definition, smart materials are materials whose properties can react to the changes within their environment. This implies that an external condition, such as pressure, temperature, electricity or light, can change one of the properties of these materials (Roy, 2016). However, the change is reversible. SMA is an alloy that can be folded, twisted or bent into a shape (i.e. get deformed) and return to or regain its original shape when heated above a certain temperature level (Ivanic, Gojic and Kozuh, 2014), as shown in Figure 1 below (GCSEScience.com, 2015). In other words, SMA can remember its original shape. Figure 1: Changes of an SMA Characteristics of Smart Materials (SMAs) Some characteristics of SMAs are as follows: their properties change with changing conditions such as temperature, pressure, light or electricity; change memory effect; they are highly super elastic; they are lightweight; they have high wear and tear resistance; they have high ductile and fatigue properties; their yield strength is relatively low than that of steel but higher than that of aluminium or steel; electrical resistance that changes with temperature; high resistance to vibration; resistance to acoustic damping. Composition of Smart Materials The composition of SMAs depend on the specific type of metals that make up the alloy. The most common SMAs is Nitinol, which comprises of nickel and titanium. Other compositions of SMAs include: copper-aluminium-nickel (Cu-Al-Ni), silver cadmium (Ag-Cd), Au-Cd, Cu-Sn, copper zinc (Cu-Zn), In-Ti, nickel and aluminium (Ni-Al), Mn-Cu, Fe-Pt, among others. These metals are the ones that determine the properties of a particular SMA. Classifications of Smart Materials There are two main categories of SMAs: one way SMA and two way SMA. One way SMAs are those that when they are in their cold state i.e. below temperature at the start of Martensite-to-Austenite transformation (As), they can be stretched or bent while still holding their shape until when they are heated to temperatures exceeding the transition temperature. When they get heated, their shape changes to the original shape. On cooling, they retain their hot temperature shape until they deform again. Therefore the macroscopic shape of these SMAs does not change when they are cooled from the high temperatures. Two way SMA are those that remember two shapes. One of these shapes is when the SMA is at high temperature and the other one is when it is at low temperature. Two way SMAs exhibit shape memory effect when they are being cooled and heated. They can also be manipulated so as to leave some properties they acquire when they get deformed at low temperature during the high temperature phase. But when they get heated beyond a certain temperature level, two way SMAs lose the two way memory effect. When this happens, it is referred to as amnesia. History of Smart Materials According to Shuai, Yen-Yu and Xi (2009), the history of SMAs goes back to 1930s. It was in 1932 when Au-Cd alloys pseudoelastic behavior was discovered by Olander. Greninger and Mooradian then made observations on how martensitic phase formed and disappeared when temperature of Cu-Zn alloy was decreased and increased. A decade later, there was extensive discussion about the fundamental concept of memory effect that was governed by martensite phases thermoelastic behavior. During early 1960s, shape memory effect was discovered in equiatomic nickel and titanium alloy by people working at the U.S. Naval Ordnance Laboratory. This was a major breakthrough in discovery of shape memory materials. The nickel and titanium alloy was given the name Nitinol to mean Nickel-Titanium Naval Ordnance Laboratory. After that, there followed numerous investigations towards understanding the basic behavior of Nitinol and its mechanics. Nitinol, also referred to as NiTi, started being used widely due to its shape memory effect and superelasticity. These two are very new properties in comparison with traditional metal alloys. Production Methods to Produce Smart Materials There are several production methods used to produce SMAs. These include: vacuum melting, induction melting, vacuum arc melting, plasma arc melting, hot and cold working (which comprises of rolling, forging and wire drawing), electron beam melting, rapid solidification methods such as continuous casting and melt spinning (Ivanic, Gojic and Kozuh, 2014). In general, the key processes of manufacturing SMAs are: casting process, heat treatment process, forming process, and machining process (Markopoulos, Pressas and Manolakos, 2016). After manufacturing, the SMAs go through fabrication where they are welded, soldered, joined, machined and coated/plated. Application of Smart Materials in Modern Day Machinery SMAs have a wide range of applications including industrial (automotive, spacecraft and aircraft, and robotics), civil structures (piping and telecommunication), medicine (optometry, dentistry and essential tremor), crafts and engines. Limitations on use of smart materials There are also several factors that limit use of SMAs. Some of these are: response symmetry, response time, functional fatigue, structural fatigue, unintended actuation, high cost, low energy efficiency and limited availability. Future of Smart Materials The future of SMAs is very promising because these materials are expected to be improved further so as to make them better and increase their applications (Weber, 2010). SMAs have great potential of transforming several industries including manufacturing, robotics, healthcare, etc. These materials are expected to find more applications in production of different products used in industries, homes and offices. It is also expected that researchers of these materials will continue developing strategies of overcoming the limitations of SMAs. Additionally, new types of SMAs are expected to be discovered in the near future (Brown, 2015). For instance, there are several ongoing research and development projects exploring the uses of SMAs. Some of these include use of SMAs to make the following products: amplitie, puddlejumper coat, cooling jacket, adaptable airplane wings, automatic rolling shirt sleeves, opaque glass, disappearing ink, etc. (Cooper, 2013). All these products are made by ap plying the fact that SMAs are able to learn and change their properties because of surrounding conditions. If properly used, SMAs can improve the performance of almost all present products including robots, automobiles, airplanes, electrical appliances, etc. (Rossiter, 2017). Therefore as the global population continues to increase and natural resources become scarcer, SMAs are expected to play a major role in coping up with scarcity of resources (Busscher, 2015). In general, SMAs are anticipated to improve the future and those who want to build the future must understand them. Works Cited Brown, J. (2015). Shape Memory alloys Continue to Improve the Future. Retrieved May 8, 2017, from https://www.appliancedesign.com/articles/94423-shape-memory-alloys-continue-to-improve-the-future Busscher, P. (2015). Smart materials: why the future face of manufacturing matters to investors. Retrieved May 9, 2017, from https://www.cityam.com/209559/smart-materials-why-future-face-manufacturing-matters-investors Cooper, B.B. (2013). If you want to build the future, you need to understand smart materials. Retrieved May 8, 2017, from https://www.attendly.com/if-you-want-to-build-the-future-you-need-to-understand-smart-materials/ GCSEScience.com. (2015). Extraction of Metals. Retrieved May 8, 2017, fromhttps://www.gcsescience.com/ex38.htm Ivanic, K., Gojic, M. and Kozuh, S. (2014). Shape Memory alloys (part II: Classification, Production and application). Journal of Chemists and Chemical Engineers, Vol. 63, No. 9. Markopoulos, A.P., Pressas, I. and Manolakos, D. (2016). Materials Forming and MachiningResearch and Development, pp. 155-180. Cambridge: Woodhead Publishing. Rossiter, J. (2017). Robotics, Smart Materials, and their Future Impact for Humans. Retrieved May 9, 2017, from https://www.technologyreview.com/s/604097/robotics-smart-materials-and-their-future-impact-for-humans/ Roy, B.N. (2016). Future of Shape Memory alloy and Its Utilization. International Journal ofCurrent Research, Vol. 8, Issue 5, pp. 31646-31651. Shuai, S., Yen.Yu, L. and Xi, L. (2009). Fundamental Characteristics of Shape Memory Alloys. Retrieved May 8, 2017, from https://smagroup.blogspot.co.ke/2009/02/fundamental-characteristics-of-shape.html Weber, A. (2010). Smart Materials Have a Bright Future. Retrieved May 9, 2017, from https://www.assemblymag.com/articles/87695-smart-materials-have-a-bright-future