![](/Images/products/bo-phan-giai-khong-choi-quet-brushless-resolvers-smartsyn-tamagawa-seiki.png)
Bộ phân giải không chổi quét - Brushless resolvers (Smartsyn) Tamagawa-seiki
Price: Contact
Brand: Tamagawa
Category: Thiết bị tự động hóa
Supplier: ANS Vietnam
Origin:
Ứng dụng sản phẩm: Automotive
Tamagawa-seiki Vietnam,Bộ phân giải không chổi quét - Brushless resolvers (Smartsyn) Tamagawa-seiki
Smartsyn Brushless resolvers - Bộ phân giải không chổi quét 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)
Takuwa là công ty kỹ thuật hàng đầu Nhật Bản về công nghệ kiểm soát lũ và phòng trống thiên tai.
Với trên 50 năm kinh nghiệm, Takuwa đã và đang tiếp tục cung cấp công nghệ và giải pháp tốt nhất trong việc kiểm soát lũ và phòng trống thiên tai, sản phẩm nổi bật nhất phải kể đến các thiết bị đo mức nước.
Nhờ vào công nghệ hiện đại và chất lượng cải tiến, Takuwa đã đạt được nhiều thành tựu trong việc cung cấp các thiết bị trong việc phòng chống và kiểm soát lũ lụt, đóng góp một phần quan trọng trong việc cải tiến đất nước Nhật Bản sau chiến tranh.
Kết hợp với Anh Nghi Sơn (ANS Vietnam), Takuwa đã và đang ứng dụng tốt công nghệ và kỹ thuât của mình tại thị trường Việt Nam nhằm kiểm soát nước trong Thủy điện, phòng chống thiên tai và sạt lở.
Tamagawa Vietnam kể từ khi thành lập đã vượt qua thử thách về độ chính xác góc cho thiết bị điều khiển, chẳng hạn như cảm biến Tamagawa-seiki Vietnam, động cơ Tamagawa và con quay hồi chuyển Tamagawa-seiki có độ chính xác cao, và đã giao hàng thành công thiết bị đó cho khách hàng của mình
Giới thiệu hãng Tamagawa Vietnam
Hiện Tamagawa-seiki Vietnam là một trong số ít các nhà sản xuất trên thế giới có khả năng phát triển và sản xuất cả cảm biến vị trí / góc hai chiều và ba chiều (không gian).
Tamagawa Vietnam đã áp dụng công nghệ cảm biến có độ chính xác cao tiên tiến hàng đầu cho "Hệ thống chuyển động" của chúng tôi, lĩnh vực ứng dụng của nó đang mở rộng đến cả ngành công nghiệp vũ trụ.
Hoạt động chính của Tamagawa Vietnam
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Hợp đồng sản xuất, Kinh doanh và dịch vụ các thành phần servo (bộ mã hóa Tamagawa-seiki Vietnam, bộ phân giải, cảm biến tỷ lệ, con quay hồi chuyển, động cơ servo AC / trình điều khiển / bộ điều khiển, động cơ bước / trình điều khiển, đồng bộ hóa, LVDT, v.v.),
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Hệ thống camera giám sát, IMU, thiết bị điều khiển tự động và nghiên cứu sinh học thuốc thử.
Ứng dụng Tamagawa Vietnam:
Từ cảm biến đến hệ thống, sản phẩm Tamagawa Vietnam hỗ trợ công nghệ tiên tiến của nhiều lĩnh vực ứng dụng.
Thành phần Servo Tamagawa-seiki
Từ Tamagawa-seiki cảm biến vị trí và góc đến mọi loại động cơ servo Tamagawa , sản phẩm của chúng tôi đóng một vai trò quan trọng trong nhiều lĩnh vực.
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Encoders
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Resolvers
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Synchros
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Rate Sensors
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Gyros
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LVDT
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AC Servo Motors
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Step Motors etc.
Động cơ servo Tamagawa-seiki Vietnam để định vị robot công nghiệp và máy công cụ, bộ phân giải VR để phát hiện góc của xe điện và ô tô lai, và động cơ bước cho pachinko và máy đánh bạc, v.v.Hệ thống Tamagawa-seiki Vietnam
Công nghệ tiên tiến của Tamagawa Vietnam được sử dụng để phát hiện góc của ăng-ten để quan sát không gian yêu cầu độ chính xác góc từ 0,1 giây trở xuống, điều khiển vị trí và vận tốc yêu cầu độ chính xác của đơn vị micron, tiết kiệm lao động và tự động hóa của robot công nghiệp, máy công cụ, ngành thép và đập.
Từ cảm biến Tamagawa Vietnam đến hệ thống, sản phẩm hỗ trợ công nghệ tiên tiến của nhiều lĩnh vực ứng dụng.
Gần đây, Tamagawa-seiki Vietnam đã phát triển và sản xuất nhiều phương pháp xây dựng tiết kiệm lao động và robot tự chẩn đoán trong lĩnh vực xây dựng và công trình dân dụng theo nhu cầu của khách hàng.
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Trình điều khiển /Bộ điều khiển
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Đơn vị đo lường quán tính Tri - Trục
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Hệ thống camera ổn định
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Tamagawa Under Ground Navigator, v.v.
Thiết bị khác
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Hệ thống camera ổn định
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Hạt FG Hạt nano từ tính
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Trình điều khiển /Bộ điều khiển
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Đơn vị đo lường quán tính Tri - Trục
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Hệ thống camera ổn định
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Tamagawa Under Ground Navigator, v.v.
Giới thiệu sản phẩm Tamagawa-seiki Vietnam
Cảm biến đo vòng quay Tamagawa với độ chính xác cao và độ phân giải cao.
Các bộ mã hóa Tamagawa Vietnam hiện nay, đã được sử dụng rộng rãi cho tự động hóa nhà máy, đo lường, thiết bị tự động hóa văn phòng, thiết bị y tế, hàng không và các lĩnh vực phổ thông. Nhiều loại mã hóa khác nhau (FA-CODER® là thương hiệu) từ nhỏ đến độ phân giải cao luôn có sẵn để đáp ứng tất cả các yêu cầu.
Ví dụ về ứng dụng Step Motors / Drivers Tamagawa-seiki
Điều khiển định vị đơn giản bằng mô-men xoắn cao và cảm biến ít động cơ hơn
Bảng X-Y
Dây đai làm việc
Đối với bộ nạp của maunder chip
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Bộ truyền động cho FA
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Để lái thiết bị gắn trên vệ tinh
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Thiết bị phân tích khoa học y tế, thiết bị phân tích sinh hóa
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Camera giám sát
Ví dụ về ứng dụngTamagawa Động cơ Servo / Trình điều khiển / Bộ điều khiển
Ngoài việc tự động hóa các quy trình sản xuất trước đây được tiến hành theo cách thủ công, việc áp dụng hệ thống SV-NET của Tamagawa-seiki Vietnam trong các cài đặt sản xuất khác nhau góp phần đáng kể vào sự phát triển kinh doanh của khách hàng. Không chỉ ứng dụng sản xuất tại chỗ, SV-NET còn thể hiện giá trị của mình trong bất kỳ trường hợp nào khác cần điều khiển chuyển động...Liên hệ ngay nhận báo giá
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Robot công nghiệp
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Robot hình người
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Thiết bị sơn
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Hệ thống băng tải
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Cửa tự động cho các cơ quan di chuyển
Ví dụ về ứng dụng Resolvers Tamagawa
Bộ phân giải không chổi than là cảm biến đo lường quay có độ tin cậy cao.
Rung động không ngừng và chấn động lặp đi lặp lại tại công trường xây dựng hoặc trong nhà máy.
Xe của bạn càng chạy thì môi trường trong buồng máy càng trở nên khắc nghiệt.
Ngay cả trong những điều kiện như vậy, hãy đảm bảo sự an toàn và độ tin cậy vững chắc cho chiếc xe của bạn.
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Cảm biến quay của động cơ truyền động Tamagawa Vietnam khớp rô bốt
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Ứng dụng cho cảm biến cho ăn của máy dệt
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Ứng dụng để điều khiển quay của xẻng thủy lực
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Ứng dụng cho cảm biến của robot khớp theo chiều ngang
Smartsyn là một bộ phân giải không chổi quét tích hợp được thiết kế bằng cách sử dụng hệ thống cuộn dây hoàn toàn mới và độc đáo của Tamagawa Seiki để tạo ra một sản phẩm có chi phí thấp và năng suất cao, đồng thời có độ tin cậy và đặc tính điện vượt trội. Bộ phân giải được hình thành bằng cách sử dụng hệ thống cuộn dây thông thường chỉ có thể được vận hành bằng tay, nhưng bộ phân giải được tạo ra bằng cách sử dụng hệ thống cuộn dây mới này có thể được thiết lập để hoạt động tự động bằng cách sử dụng máy cuộn dây.
Đặc trưng
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Phạm vi nhiệt độ rộng
[Phạm vi nhiệt độ -55 đến +155 ℃ (※)]
※ Chỉ loại tích hợp
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Khả năng chống chịu môi trường vượt trội: Khả năng chống chịu môi trường vượt trội
・ Rung: 196 m / s2 {20 G} ở tần số 10 Hz .500 Hz, trong 2 giờ cho mỗi ba trục.
・ Sốc: 981 m / s2 {100 G} trong 6 mili giây, 3 lần với mỗi 6 trục, tổng cộng 18 lần
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Quay tốc độ cao
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Độ tin cậy cao
Không sử dụng bộ phận điện, bộ phận quang học. Không cần bảo trì vì tính năng không cần chổi quét của nó.
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Phát hiện vị trí tuyệt đối
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Truyền tải đường dài
Khả năng chống nhiễu và truyền khoảng cách xa.
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Có khả năng kết hợp nhỏ gọn
Việc sử dụng các loại Smartsyn tích hợp giúp giảm thiểu vỏ của động cơ. Phù hợp nhất cho thiết kế nhỏ gọn
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Trọng lượng nhỏ và nhẹ
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Có thể thực hiện đa cực bằng cách tăng hệ số nhân của tam giác.
Các phiên bản của Brushless resolvers (Smartsyn) Bộ phân giải không chổi quét (Smartsyn)
Buil in type
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TS2603N21E64
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TS2605N1E64
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TS2610N171E64
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TS2620N21E11
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TS2620N271E14
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TS2640N321E64
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TS2660N31E64
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TS2640N321E64
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TS2660N31E64
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TS2603N21E64
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TS2605N1E64
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TS2610N171E64
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TS2620N21E11
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TS2620N27E14
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TS2640N321E64
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TS2660N31E64
Shaft type
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TS2611N11E90
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TS2623N11E90
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TS2622N41E90
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TS2611N11E90
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TS2623N11E90
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TS2622N41E90
Hollow snaft Type
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TS2641N11E64
Về đa cực
Dòng tiêu chuẩn là hệ số nhân của loại thiên thần 1X mà một chu kỳ điện là một vòng quay cơ học, nhưng cũng có thể tạo ra loại chính xác cao bằng cách tăng hệ số nhân góc. Vui lòng liên hệ với chúng tôi để biết thông tin chi tiết và các thắc mắc khác cho 2X trở lên.
Smartsyn Brushless resolvers - Bộ phân giải không chổi quét |
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Tamagawa Vietnam |
Buil-in type |
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Tamagawa Vietnam |
TS2603N21E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2605N1E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2610N171E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2620N21E11 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2620N271E14 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2640N321E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2660N31E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2640N321E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2660N31E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2603N21E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2605N1E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2610N171E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2620N21E11 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2620N27E14 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2640N321E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
TS2660N31E64 |
Smartsyn Brushless resolvers Buil in type Tamagawa |
Bộ phân giải không chổi quét loại tích hợp Tamagawa |
Tamagawa Vietnam |
Liên hệ & Báo giá chi tiết:
Sale ANS Vietnam:
support@ansgroup.asia
Trực tiếp Zalo: 0911472255
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