SKU: 69381153851

2009 Gas Gas SM515 FSR (4T) Supermotard STARTER Motor Engine Starting 9-Spline 31100-29F00

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Description

2009 Gas Gas SM515 FSR (4T) Supermotard STARTER Motor Engine Starting 9-Spline 31100-29F00STARTER Motor Engine Starting 9 Spline Fit For Suzuki LT Z400 LT Z400Z Quadsport 2003 2009 31100 29F00 18718 495769FEATURES: Brand new starter,not a remanufactured or refurbished one with wear and tear. High quality magnets or field coils deliver more torque for fast starts,good working condition. Inside and out starter motors improve reliability over longer periods of time. Designed for individual vehicle power consumption, and are ready to be

STARTER Motor Engine Starting 9-Spline Fit For Suzuki LT-Z400 LT-Z400Z Quadsport 2003-2009 31100-29F00 18718 495769

FEATURES:
-Brand new starter,not a remanufactured or refurbished one with wear and tear.
-High-quality magnets or field coils deliver more torque for fast starts,good working condition.
-Inside and out starter motors improve reliability over longer periods of time.
-Designed for individual vehicle power consumption, and are ready to be installed quickly and easily.
-Engineered to perform just like the original starter in your vehicle or power equipment
-New Armatures are precision-manufactured and tested for long service life.
-Replaces existing starter motor, Just replace and ride again.
-Professional installation will be highly recommanded,installation instruction NOT included.

SPECIFICATIONS:
Condition: Aftermarket 100% Brand New
Fitment Type:Direct Replacement
Surface Finish: Heavy Duty
Starter Type: PMDD
Rotation: CW
Part: UNIT
Unit Type: Starter
Number of Teeth: 9

PART NUMBER(S):
For Suzuki P/N: 31100-29F00
For Kawasaki P/N: 21163-S004
For ARCTCO P/N: 3445-033
For Arrowhead P/N: SMU0281
For J & N P/N: 410-54064
For Lester P/N: 18718
For Tucker Rocky P/N: 464050,49-5769,495769
For EMS P/N: SA-108, SA-108N
For PIC P/N: 191-357, 191-357A
For Gas Gas MFS450526500

FITMENT:
Fit for Suzuki LTZ400 Quadsport Z400 398cc 2003-2009
Fit for Suzuki DR-Z400 398cc 2000-2004
Fit for Suzuki DR-Z400E 398cc 2000-2009
Fit for Suzuki DRZ400S 398cc 2000-2017
Fit for Suzuki DRZ400SM 398cc 2005-2017

Fit for Kawasaki KLX400R KLX400SR 398cc 2003-2004
Fit for Kawasaki KSF400 KFX 400 398cc 2003-2006

Fit for Arctic Cat DVX400 ATV 400 DVX 398cc 2004-2008

Fit for Gas Gas FSE450 2003-2007
Fit for Gas Gas ATV Wild HP 450 2006-2008
Fit for Gas Gas SM450 FSR (4T) Supermotard 2009
Fit for Gas Gas SM515 FSR (4T) Supermotard 2009
Fit for Gas Gas EC250E(E-Start)2012
Fit for Gas Gas EC300E(E-Start)2012
Fit for Gas Gas EC450 FSR 2009
Fit for Gas Gas EC450 FSR White (4T) 2009
Fit for Gas Gas EC515 FSR (4T) 2009
Fit for Gas Gas EC515 FSR White (4T) 2009

PACKAGE INCLUDED:
1x Starter

NOTE:
Compatibility only for reference,please check out the size & part numbers fits your motorcycle or not.
This is an aftermarket part,not an original part.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

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Exchange/Return Notes
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SKU: 69381153851

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4.2 ★★★★★
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Rory Derrick
Chelsea, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
C
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Cory P.
Los Angeles, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
Lake Worth, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Boise, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021
S
Susan
Port Orchard, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021

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